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Philip S. Yu
Author information
- University of Illinois at Chicago
2010 – today
- 2013
[j231]Bai-En Shie, Philip S. Yu, Vincent S. Tseng: Mining interesting user behavior patterns in mobile commerce environments. Appl. Intell. 38(3): 418-435 (2013)- [j230]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu: PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. TKDD 7(3): 11 (2013)
- [j229]Mingxuan Yuan, Lei Chen, Philip S. Yu, Ting Yu: Protecting Sensitive Labels in Social Network Data Anonymization. IEEE Trans. Knowl. Data Eng. 25(3): 633-647 (2013)
- [j228]Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu: Transfer across Completely Different Feature Spaces via Spectral Embedding. IEEE Trans. Knowl. Data Eng. 25(4): 906-918 (2013)
- [j227]Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu: Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases. IEEE Trans. Knowl. Data Eng. 25(8): 1772-1786 (2013)
- [j226]Shaoxu Song, Lei Chen, Philip S. Yu: Comparable dependencies over heterogeneous data. VLDB J. 22(2): 253-274 (2013)
- [j225]Miao Qiao, Hong Cheng, Lu Qin, Jeffrey Xu Yu, Philip S. Yu, Lijun Chang: Computing weight constraint reachability in large networks. VLDB J. 22(3): 275-294 (2013)
- [c489]
- [c488]Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei: Privacy Preserving Graph Publication in a Distributed Environment. APWeb 2013: 75-87
- [c487]Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu: Transfer Sparse Coding for Robust Image Representation. CPVR 2013: 407-414
- [c486]Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu: Graph stream classification using labeled and unlabeled graphs. ICDE 2013: 398-409
- [c485]Yuqing Zhu, Philip S. Yu, Jianmin Wang: RECODS: Replica consistency-on-demand store. ICDE 2013: 1360-1363
- [c484]Xuebo Song, Lin Li, Pradip K. Srimani, Philip S. Yu, James Z. Wang: Measure the Semantic Similarity of GO Terms Using Aggregate Information Content. ISBRA 2013: 224-236
- [c483]Shuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu: Extracting social events for learning better information diffusion models. KDD 2013: 365-373
- [c482]Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng: Mining high utility episodes in complex event sequences. KDD 2013: 536-544
- [c481]Xiangnan Kong, Bokai Cao, Philip S. Yu: Multi-label classification by mining label and instance correlations from heterogeneous information networks. KDD 2013: 614-622
- [c480]Yuchen Zhao, Guan Wang, Philip S. Yu, Shaobo Liu, Simon Zhang: Inferring social roles and statuses in social networks. KDD 2013: 695-703
- [c479]Meng-Fen Chiang, Yung-Hsiang Lin, Wen-Chih Peng, Philip S. Yu: Inferring distant-time location in low-sampling-rate trajectories. KDD 2013: 1454-1457
- [c478]Jun Zhang, Chaokun Wang, Yuanchi Ning, Yichi Liu, Jianmin Wang, Philip S. Yu: LAFT-Explorer: inferring, visualizing and predicting how your social network expands. KDD 2013: 1510-1513
- [c477]Bo Xu, Ouri Wolfson, Jie Yang, Leon Stenneth, Philip S. Yu, Peter C. Nelson: Real-Time Street Parking Availability Estimation. MDM (1) 2013: 16-25
- [c476]Meng-Fen Chiang, Wen-Yuan Zhu, Wen-Chih Peng, Philip S. Yu: Distant-Time Location Prediction in Low-Sampling-Rate Trajectories. MDM (1) 2013: 117-126
- [c475]Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu: Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction. PAKDD (1) 2013: 339-353
- [c474]Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao: One-Class Transfer Learning with Uncertain Data. PAKDD (1) 2013: 471-483
- [c473]Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu: Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network. PAKDD (1) 2013: 583-594
- [c472]Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu: Discriminative Feature Selection for Uncertain Graph Classification. SDM 2013: 82-93
- [c471]
- [c470]Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu: Dynamic Community Detection in Weighted Graph Streams. SDM 2013: 151-161
- [c469]Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu: Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. SDM 2013: 216-224
- [c468]Wei Fan, Xiaoxiao Shi, Philip S. Yu: Dynamic Shaker Detection from Evolving Entities. SDM 2013: 350-358
- [c467]
- [c466]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu: Community Detection with Prior Knowledge. SDM 2013: 405-413
- [c465]Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu: MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM 2013: 722-730
- [c464]Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu: Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM 2013: 731-739
- [c463]Jun Zhang, Chaokun Wang, Philip S. Yu, Jianmin Wang: Learning latent friendship propagation networks with interest awareness for link prediction. SIGIR 2013: 63-72
- [c462]Cheng Long, Raymond Chi-Wing Wong, Philip S. Yu, Minhao Jiang: On optimal worst-case matching. SIGMOD Conference 2013: 845-856
- [c461]
- [c460]Jun Zhang, Chaokun Wang, Jianmin Wang, Philip S. Yu: LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks. WSDM 2013: 597-606
- [c459]Yuchen Zhao, Neel Sundaresan, Zeqian Shen, Philip S. Yu: Anatomy of a web-scale resale market: a data mining approach. WWW 2013: 1533-1544
- [p12]Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu: Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58
- [p11]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu: Dimensionality Reduction and Filtering on Time Series Sensor Streams. Managing and Mining Sensor Data 2013: 103-141
- [e25]Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Philip S. Yu, Munindar P. Singh (Eds.): Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7607, Springer 2013, ISBN 978-3-642-36287-3
- [e24]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu (Eds.): Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2324-6
- [i16]Xiangnan Kong, Philip S. Yu, Xue Wang, Ann B. Ragin: Discriminative Feature Selection for Uncertain Graph Classification. CoRR abs/1301.6626 (2013)
- [i15]Yuchen Zhao, Philip S. Yu: On Graph Stream Clustering with Side Information. CoRR abs/1301.6780 (2013)
- [i14]Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen: Structural Diversity for Resisting Community Identification in Published Social Networks. CoRR abs/1302.3033 (2013)
- [i13]Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Chih-Ya Shen, Ming-Syan Chen: Pattern Based Graph Generator. CoRR abs/1303.0157 (2013)
- [i12]Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen: Willingness Optimization for Social Group Activity. CoRR abs/1305.1502 (2013)
- [i11]Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild: Meta Path-Based Collective Classification in Heterogeneous Information Networks. CoRR abs/1305.4433 (2013)
- [i10]Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu: Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. CoRR abs/1308.1118 (2013)
- [i9]Shuyang Lin, Xiangnan Kong, Philip S. Yu: Predicting Trends in Social Networks via Dynamic Activeness Model. CoRR abs/1308.1995 (2013)
- [i8]Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu: HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. CoRR abs/1309.7393 (2013)
- [i7]Zhung-Xun Liao, Shou-Chung Li, Wen-Chih Peng, Philip S. Yu: On the Feature Discovery for App Usage Prediction in Smartphones. CoRR abs/1309.7982 (2013)
- 2012
- [b1]Longbing Cao, Philip S. Yu: Behavior Computing - Modeling, Analysis, Mining and Decision. Springer 2012, ISBN 978-1-4471-2968-4, pp. I-XVI, 1-374
- [j224]Longbing Cao, Gerhard Weiss, Philip S. Yu: A brief introduction to agent mining. Autonomous Agents and Multi-Agent Systems 25(3): 419-424 (2012)
- [j223]Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal: Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. 25(3): 415-419 (2012)
- [j222]Charu C. Aggarwal, Philip S. Yu: On the network effect in Web 2.0 applications. Electronic Commerce Research and Applications 11(2): 142-151 (2012)
- [j221]Bai-En Shie, Philip S. Yu, Vincent S. Tseng: Efficient algorithms for mining maximal high utility itemsets from data streams with different models. Expert Syst. Appl. 39(17): 12947-12960 (2012)
- [j220]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad: Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. 15(3-4): 391-411 (2012)
- [j219]Zhou-zhou He, Zhong-fei Mark Zhang, Philip S. Yu: Overlapping community detection combining content and link. Journal of Zhejiang University - Science C 13(11): 828-839 (2012)
- [j218]Zhengzheng Xing, Jian Pei, Philip S. Yu: Early classification on time series. Knowl. Inf. Syst. 31(1): 105-127 (2012)
- [j217]Xiangnan Kong, Philip S. Yu: gMLC: a multi-label feature selection framework for graph classification. Knowl. Inf. Syst. 31(2): 281-305 (2012)
- [j216]Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu: Mining Frequent Itemsets over Uncertain Databases. PVLDB 5(11): 1650-1661 (2012)
- [j215]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu: Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. PVLDB 5(12): 2022-2023 (2012)
- [j214]Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu: Modeling blogger influence in a community. Social Netw. Analys. Mining 2(2): 139-162 (2012)
- [j213]Leon Stenneth, Philip S. Yu: Mobile Systems Privacy: 'MobiPriv' A Robust System for Snapshot or Continuous Querying Location Based Mobile Systems. Transactions on Data Privacy 5(1): 333-376 (2012)
- [j212]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu: Identify Online Store Review Spammers via Social Review Graph. ACM TIST 3(4): 61 (2012)
- [j211]Tianbing Xu, Zhongfei Zhang, Philip S. Yu, Bo Long: Generative Models for Evolutionary Clustering. TKDD 6(2): 7 (2012)
- [j210]Longbing Cao, Yuming Ou, Philip S. Yu: Coupled Behavior Analysis with Applications. IEEE Trans. Knowl. Data Eng. 24(8): 1378-1392 (2012)
- [j209]Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu: Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. T. Large-Scale Data- and Knowledge-Centered Systems 5: 183-205 (2012)
- [j208]Meng-Fen Chiang, Wen-Chih Peng, Philip S. Yu: Exploring latent browsing graph for question answering recommendation. World Wide Web 15(5-6): 603-630 (2012)
- [c458]Wenxuan Gao, Lijia Ma, Christopher Brown, Matthew Slattery, Philip S. Yu, Robert L. Grossman, Kevin P. White: Discovering geometric patterns in genomic data. BCB 2012: 147-154
- [c457]
- [c456]Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild: Meta path-based collective classification in heterogeneous information networks. CIKM 2012: 1567-1571
- [c455]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng: Diversionary comments under political blog posts. CIKM 2012: 1789-1793
- [c454]Ghim-Eng Yap, Xiaoli Li, Philip S. Yu: Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) 2012: 48-64
- [c453]Amin Milani Fard, Ke Wang, Philip S. Yu: Limiting link disclosure in social network analysis through subgraph-wise perturbation. EDBT 2012: 109-119
- [c452]Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu: Relevance search in heterogeneous networks. EDBT 2012: 180-191
- [c451]Charu C. Aggarwal, Wangqun Lin, Philip S. Yu: Searching by corpus with fingerprints. EDBT 2012: 348-359
- [c450]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: On Text Clustering with Side Information. ICDE 2012: 894-904
- [c449]Yu Peng, Raymond Chi-Wing Wong, Liangliang Ye, Philip S. Yu: Attribute-Based Subsequence Matching and Mining. ICDE 2012: 989-1000
- [c448]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu: Mining Knowledge from Data: An Information Network Analysis Approach. ICDE 2012: 1214-1217
- [c447]Xiaoxiao Shi, Philip S. Yu: Dimensionality Reduction on Heterogeneous Feature Space. ICDM 2012: 635-644
- [c446]Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen, Philip S. Yu: Privacy-Preserving SimRank over Distributed Information Network. ICDM 2012: 840-845
- [c445]Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu: Mining top-K high utility itemsets. KDD 2012: 78-86
- [c444]Guan Wang, Yuchen Zhao, Xiaoxiao Shi, Philip S. Yu: Magnet community identification on social networks. KDD 2012: 588-596
- [c443]Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu: Review spam detection via temporal pattern discovery. KDD 2012: 823-831
- [c442]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. KDD 2012: 1348-1356
- [c441]Yongxin Tong, Lei Chen, Philip S. Yu: UFIMT: an uncertain frequent itemset mining toolbox. KDD 2012: 1508-1511
- [c440]Chuan Shi, Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang: HeteRecom: a semantic-based recommendation systemin heterogeneous networks. KDD 2012: 1552-1555
- [c439]Leon Stenneth, Ouri Wolfson, Bo Xu, Philip S. Yu: PhonePark: Street Parking Using Mobile Phones. MDM 2012: 278-279
- [c438]Xiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu: Learning from Heterogeneous Sources via Gradient Boosting Consensus. SDM 2012: 224-235
- [c437]Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang: Multi-Objective Multi-Label Classification. SDM 2012: 355-366
- [c436]Charu C. Aggarwal, Yan Xie, Philip S. Yu: On Dynamic Link Inference in Heterogeneous Networks. SDM 2012: 415-426
- [c435]Xiaoxiao Shi, Xiangnan Kong, Philip S. Yu: Transfer Significant Subgraphs across Graph Databases. SDM 2012: 552-563
- [c434]Charu C. Aggarwal, Shuyang Lin, Philip S. Yu: On Influential Node Discovery in Dynamic Social Networks. SDM 2012: 636-647
- [c433]Sihong Xie, Wei Fan, Philip S. Yu: An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. SDM 2012: 1107-1118
- [c432]Wangqun Lin, Xiangnan Kong, Philip S. Yu, Quanyuan Wu, Yan Jia, Chuan Li: Community detection in incomplete information networks. WWW 2012: 341-350
- [c431]Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu: Review spam detection via time series pattern discovery. WWW (Companion Volume) 2012: 635-636
- [e23]Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Gerhard Weiss, Philip S. Yu (Eds.): Agents and Data Mining Interaction - 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7103, Springer 2012, ISBN 978-3-642-27608-8
- [e22]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu (Eds.): Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012. ACM 2012, ISBN 978-1-4503-1547-0
- [i6]Yongxin Tong, Lei Chen, Yurong Cheng, Philip S. Yu: Mining Frequent Itemsets over Uncertain Databases. CoRR abs/1208.0292 (2012)
- [i5]Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen, Philip S. Yu: Implementation of Privacy-preserving SimRank over Distributed Information Network. CoRR abs/1210.0151 (2012)
- [i4]Yuqing Zhu, Philip S. Yu, Jianmin Wang: Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach. CoRR abs/1212.1046 (2012)
- 2011
- [j207]Lien-Chin Chen, Philip S. Yu, Vincent S. Tseng: WF-MSB: A weighted fuzzy-based biclustering method for gene expression data. IJDMB 5(1): 89-109 (2011)
- [j206]Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu: Processing high data rate streams in System S. J. Parallel Distrib. Comput. 71(2): 145-156 (2011)
- [j205]Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang: One-class learning and concept summarization for data streams. Knowl. Inf. Syst. 28(3): 523-553 (2011)
- [j204]Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu: Mining Top-K Large Structural Patterns in a Massive Network. PVLDB 4(11): 807-818 (2011)
- [j203]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu: PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. PVLDB 4(11): 992-1003 (2011)
- [j202]Chuan Li, Philip S. Yu, Lei Zhao, Yan Xie, Wangqun Lin: InfoNetOLAPer: Integrating InfoNetWarehouse and InfoNetCube with InfoNetOLAP. PVLDB 4(12): 1422-1425 (2011)
- [j201]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Philip S. Yu, Jian Pei: Can the Utility of Anonymized Data be Used for Privacy Breaches? TKDD 5(3): 16 (2011)
- [j200]Bugra Gedik, Kun-Lung Wu, Ling Liu, Philip S. Yu: Load Shedding in Mobile Systems with MobiQual. IEEE Trans. Knowl. Data Eng. 23(2): 248-265 (2011)
- [j199]Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng: Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns. IEEE Trans. Knowl. Data Eng. 23(3): 360-372 (2011)
- [j198]Eric Hsueh-Chan Lu, Vincent S. Tseng, Philip S. Yu: Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments. IEEE Trans. Knowl. Data Eng. 23(6): 914-927 (2011)
- [j197]Jiefeng Cheng, Jeffrey Xu Yu, Philip S. Yu: Graph Pattern Matching: A Join/Semijoin Approach. IEEE Trans. Knowl. Data Eng. 23(7): 1006-1021 (2011)
- [j196]Raymond Chi-Wing Wong, M. Tamer Özsu, Ada Wai-Chee Fu, Philip S. Yu, Lian Liu, Yubao Liu: Maximizing bichromatic reverse nearest neighbor for L p -norm in two- and three-dimensional spaces. VLDB J. 20(6): 893-919 (2011)
- [j195]Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen: Leadership discovery when data correlatively evolve. World Wide Web 14(1): 1-25 (2011)
- [c430]
- [c429]Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long: Pattern change discovery between high dimensional data sets. CIKM 2011: 1097-1106
- [c428]
- [c427]
- [c426]Chuan Shi, Philip S. Yu, Yanan Cai, Zhenyu Yan, Bin Wu: On selection of objective functions in multi-objective community detection. CIKM 2011: 2301-2304
- [c425]Xiangnan Kong, Philip S. Yu: An ensemble-based approach to fast classification of multi-label data streams. CollaborateCom 2011: 95-104
- [c424]Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng: ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) 2011: 22-37
- [c423]Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu: Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. DASFAA (1) 2011: 224-238
- [c422]Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li: Efficient Topological OLAP on Information Networks. DASFAA (1) 2011: 389-403
- [c421]Leon Stenneth, Ouri Wolfson, Philip S. Yu, Bo Xu: Transportation mode detection using mobile phones and GIS information. GIS 2011: 54-63
- [c420]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: Outlier detection in graph streams. ICDE 2011: 399-409
- [c419]
- [c418]Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu: ADANA: Active Name Disambiguation. ICDM 2011: 794-803
- [c417]Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng: Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. ICDM 2011: 824-833
- [c416]Yuchen Zhao, Xiangnan Kong, Philip S. Yu: Positive and Unlabeled Learning for Graph Classification. ICDM 2011: 962-971
- [c415]Charu C. Aggarwal, Yao Li, Philip S. Yu: On the Hardness of Graph Anonymization. ICDM 2011: 1002-1007
- [c414]Chih-Hua Tai, Peng-Jui Tseng, Philip S. Yu, Ming-Syan Chen: Identities Anonymization in Dynamic Social Networks. ICDM 2011: 1224-1229
- [c413]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu: Review Graph Based Online Store Review Spammer Detection. ICDM 2011: 1242-1247
- [c412]Frederic Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu: Distributed hoeffding trees for pocket data mining. HPCS 2011: 686-692
- [c411]Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu: Distributed Classification for Pocket Data Mining. ISMIS 2011: 336-345
- [c410]Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu: Differentially private data release for data mining. KDD 2011: 493-501
- [c409]Xiangnan Kong, Wei Fan, Philip S. Yu: Dual active feature and sample selection for graph classification. KDD 2011: 654-662
- [c408]Xiaoxiao Shi, Wei Fan, Jianping Zhang, Philip S. Yu: Discovering shakers from evolving entities via cascading graph inference. KDD 2011: 1001-1009
- [c407]Charu C. Aggarwal, Yan Xie, Philip S. Yu: On dynamic data-driven selection of sensor streams. KDD 2011: 1226-1234
- [c406]Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen: Privacy-preserving social network publication against friendship attacks. KDD 2011: 1262-1270
- [c405]Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng: Discovering Valuable User Behavior Patterns in Mobile Commerce Environments. PAKDD Workshops 2011: 77-88
- [c404]Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang: Multi-label Ensemble Learning. ECML/PKDD (3) 2011: 223-239
- [c403]Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen: Structural Diversity for Privacy in Publishing Social Networks. SDM 2011: 35-46
- [c402]Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang: Extracting Interpretable Features for Early Classification on Time Series. SDM 2011: 247-258
- [c401]Charu C. Aggarwal, Yan Xie, Philip S. Yu: Towards Community Detection in Locally Heterogeneous Networks. SDM 2011: 391-402
- [c400]
- [c399]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu: One-Class-Based Uncertain Data Stream Learning. SDM 2011: 992-1003
- 2010
- [j194]Bhuvan Bamba, Ling Liu, Philip S. Yu: A motion-aware safe period-based framework for spatial alarm processing. Comput. Syst. Sci. Eng. 25(3) (2010)
- [j193]Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu: Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Surv. 42(4) (2010)
- [j192]Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng: Music Recommendation Using Content and Context Information Mining. IEEE Intelligent Systems 25(1): 16-26 (2010)
- [j191]Huan Liu, Philip S. Yu, Nitin Agarwal, Torsten Suel: Guest Editors' Introduction: Social Computing in the Blogosphere. IEEE Internet Computing 14(2): 12-14 (2010)
- [j190]Charu C. Aggarwal, Philip S. Yu: On clustering massive text and categorical data streams. Knowl. Inf. Syst. 24(2): 171-196 (2010)
- [j189]Bo Long, Zhongfei Zhang, Philip S. Yu: A general framework for relation graph clustering. Knowl. Inf. Syst. 24(3): 393-413 (2010)
- [j188]Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin: On Dense Pattern Mining in Graph Streams. PVLDB 3(1): 975-984 (2010)
- [j187]Mingxuan Yuan, Lei Chen, Philip S. Yu: Personalized Privacy Protection in Social Networks. PVLDB 4(2): 141-150 (2010)
- [j186]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3(5): 302-318 (2010)
- [j185]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: A framework for clustering massive graph streams. Statistical Analysis and Data Mining 3(6): 399-416 (2010)
- [j184]Xiaoxiao Shi, Philip S. Yu: Limitations of matrix completion via trace norm minimization. SIGKDD Explorations 12(2): 16-20 (2010)
- [j183]Ning Zhong, Gregory Piatetsky-Shapiro, Yiyu Yao, Philip S. Yu: ACM TKDD Special Issue on Knowledge Discovery for Web Intelligence. TKDD 5(1): 1 (2010)
- [j182]Chengqi Zhang, Philip S. Yu, David A. Bell: Introduction to the Domain-Driven Data Mining Special Section. IEEE Trans. Knowl. Data Eng. 22(6): 753-754 (2010)
- [j181]Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu: Optimal distance bounds for fast search on compressed time-series query logs. TWEB 4(2) (2010)
- [j180]Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu: Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. 19(4): 531-556 (2010)
- [c398]Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu: On wavelet decomposition of uncertain time series data sets. CIKM 2010: 129-138
- [c397]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu: Orientation distance-based discriminative feature extraction for multi-class classification. CIKM 2010: 909-918
- [c396]Leon Stenneth, Philip S. Yu: Global privacy and transportation mode homogeneity anonymization in location based mobile systems with continuous queries. CollaborateCom 2010: 1-10
- [c395]Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen: Detecting Leaders from Correlated Time Series. DASFAA (1) 2010: 352-367
- [c394]Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang: Mining Diversity on Networks. DASFAA (1) 2010: 384-398
- [c393]Xiangnan Kong, Philip S. Yu: Multi-label Feature Selection for Graph Classification. ICDM 2010: 274-283
- [c392]Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu: Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM 2010: 304-313
- [c391]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu: Vote-Based LELC for Positive and Unlabeled Textual Data Streams. ICDM Workshops 2010: 951-958
- [c390]Xiaoxiao Shi, Wei Fan, Philip S. Yu: Efficient Semi-supervised Spectral Co-clustering with Constraints. ICDM 2010: 1043-1048
- [c389]Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, Ruixin Zhu: Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation. ICDM 2010: 1049-1054
- [c388]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu: Probabilistic Inference Protection on Anonymized Data. ICDM 2010: 1127-1132
- [c387]
- [c386]Chuan Shi, Yanan Cai, Philip S. Yu, Zhenyu Yan, Bin Wu: A Comparison of Objective Functions in Network Community Detection. ICDM Workshops 2010: 1234-1241
- [c385]Frederic T. Stahl, Mohamed Medhat Gaber, Max Bramer, Philip S. Yu: Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments. ICTAI (2) 2010: 323-330
- [c384]Aaron M. Cohen, Clive E. Adams, John M. Davis, Clement T. Yu, Philip S. Yu, Weiyi Meng, Lorna Duggan, Marian McDonagh, Neil R. Smalheiser: Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. IHI 2010: 376-380
- [c383]Longbing Cao, Yuming Ou, Philip S. Yu, Gang Wei: Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. KDD 2010: 85-94
- [c382]Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu: UP-Growth: an efficient algorithm for high utility itemset mining. KDD 2010: 253-262
- [c381]Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen: k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining. KDD 2010: 473-482
- [c380]Xiangnan Kong, Philip S. Yu: Semi-supervised feature selection for graph classification. KDD 2010: 793-802
- [c379]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad: BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) 2010: 449-463
- [c378]Bai-En Shie, Vincent S. Tseng, Philip S. Yu: Online mining of temporal maximal utility itemsets from data streams. SAC 2010: 1622-1626
- [c377]
- [c376]Charu C. Aggarwal, Philip S. Yu: On Classification of High-Cardinality Data Streams. SDM 2010: 802-813
- [c375]Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu: Predictive Modeling with Heterogeneous Sources. SDM 2010: 814-825
- [c374]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu: Mining knowledge from databases: an information network analysis approach. SIGMOD Conference 2010: 1251-1252
- [c373]Leon Stenneth, Philip S. Yu, Ouri Wolfson: Mobile systems location privacy: "MobiPriv" a robust k anonymous system. WiMob 2010: 54-63
- [p10]Haixun Wang, Philip S. Yu, Jiawei Han: Mining Concept-Drifting Data Streams. Data Mining and Knowledge Discovery Handbook 2010: 789-802
- [e21]Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu (Eds.): Agents and Data Mining Interaction, 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers. Lecture Notes in Computer Science 5980, Springer 2010, ISBN 978-3-642-15419-5
- [e20]Ashok N. Srivastava, Nitesh V. Chawla, Philip S. Yu, Paul Melby (Eds.): Proceedings of the 2010 Conference on Intelligent Data Understanding, CIDU 2010, October 5-6, 2010, Mountain View, California, USA. NASA Ames Research Center 2010
2000 – 2009
- 2009
- [j179]Longbing Cao, Philip S. Yu: Behavior Informatics: An Informatics Perspective for Behavior Studies. IEEE Intelligent Informatics Bulletin 10(1): 6-11 (2009)
- [j178]Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu: Information discovery across multiple streams. Inf. Sci. 179(19): 3268-3285 (2009)
- [j177]Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu: Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Systems 33(4): 241-259 (2009)
- [j176]Gang Luo, Kun-Lung Wu, Philip S. Yu: Answering linear optimization queries with an approximate stream index. Knowl. Inf. Syst. 20(1): 95-121 (2009)
- [j175]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu: Graph OLAP: a multi-dimensional framework for graph data analysis. Knowl. Inf. Syst. 21(1): 41-63 (2009)
- [j174]Zhidian Du, Lin Li, Chin-Fu Chen, Philip S. Yu, James Z. Wang: G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery. Nucleic Acids Research 37(Web-Server-Issue): 345-349 (2009)
- [j173]Charu C. Aggarwal, Yan Xie, Philip S. Yu: GConnect: A Connectivity Index for Massive Disk-resident Graphs. PVLDB 2(1): 862-873 (2009)
- [j172]Raymond Chi-Wing Wong, M. Tamer Özsu, Philip S. Yu, Ada Wai-Chee Fu, Lian Liu: Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor. PVLDB 2(1): 1126-1137 (2009)
- [j171]Huan Liu, John J. Salerno, Michael Young, Rakesh Agrawal, Philip S. Yu: Introduction to special issue on social computing, behavioral modeling, and prediction. TKDD 3(2) (2009)
- [j170]Li Wan, Wee Keong Ng, Xuan Hong Dang, Philip S. Yu, Kuan Zhang: Density-based clustering of data streams at multiple resolutions. TKDD 3(3) (2009)
- [j169]Charu C. Aggarwal, Philip S. Yu: A Survey of Uncertain Data Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 21(5): 609-623 (2009)
- [j168]Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu: Online pairing of VoIP conversations. VLDB J. 18(1): 77-98 (2009)
- [j167]Bugra Gedik, Rajesh Bordawekar, Philip S. Yu: CellJoin: a parallel stream join operator for the cell processor. VLDB J. 18(2): 501-519 (2009)
- [c372]Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen: PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. EDBT 2009: 684-695
- [c371]Jiawei Han, Xifeng Yan, Philip S. Yu: Scalable OLAP and mining of information networks. EDBT 2009: 1159
- [c370]Bhuvan Bamba, Ling Liu, Arun Iyengar, Philip S. Yu: Distributed Processing of Spatial Alarms: A Safe Region-Based Approach. ICDCS 2009: 207-214
- [c369]Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu: On Efficient Query Processing of Stream Counts on the Cell Processor. ICDE 2009: 748-759
- [c368]Shuguo Han, Wee Keong Ng, Philip S. Yu: Privacy-Preserving Singular Value Decomposition. ICDE 2009: 1267-1270
- [c367]Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Philip S. Yu: Scale-Up Strategies for Processing High-Rate Data Streams in System S. ICDE 2009: 1375-1378
- [c366]Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu: Connecting Sparsely Distributed Similar Bloggers. ICDM 2009: 11-20
- [c365]Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu: Why Naive Ensembles Do Not Work in Cloud Computing. ICDM Workshops 2009: 282-289
- [c364]Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu: Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. ICDM Workshops 2009: 338-343
- [c363]Zhengzheng Xing, Jian Pei, Philip S. Yu: Early Prediction on Time Series: A Nearest Neighbor Approach. IJCAI 2009: 1297-1302
- [c362]Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu: Optimal Distance Bounds on Time-Series Data. SDM 2009: 109-120
- [c361]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng: Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 257-268
- [c360]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1075-1086
- [c359]
- [e19]Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu (Eds.): Agents and Data Mining Interaction, 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5680, Springer 2009, ISBN 978-3-642-03602-6
- [e18]Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu (Eds.): ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3895-2
- [e17]Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu (Eds.): ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3902-7
- [r1]Philip S. Yu, Yun Chi: Association Rule Mining on Streams. Encyclopedia of Database Systems 2009: 136-139
- [i3]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Philip S. Yu: Can the Utility of Anonymized Data be used for Privacy Breaches? CoRR abs/0905.1755 (2009)
- [i2]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu: Anonymization with Worst-Case Distribution-Based Background Knowledge. CoRR abs/0909.1127 (2009)
- 2008
- [j166]Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu: Correlating burst events on streaming stock market data. Data Min. Knowl. Discov. 16(1): 109-133 (2008)
- [j165]Charu C. Aggarwal, Philip S. Yu: A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov. 16(3): 251-275 (2008)
- [j164]Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu: Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Computing 12(6): 37-49 (2008)
- [j163]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008)
- [j162]Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen: LeeWave: level-wise distribution of wavelet coefficients for processing kNN queries over distributed streams. PVLDB 1(1): 586-597 (2008)
- [j161]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos: Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Statistical Analysis and Data Mining 1(3): 142-156 (2008)
- [j160]Jimeng Sun, Dacheng Tao, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos: Incremental tensor analysis: Theory and applications. TKDD 2(3) (2008)
- [j159]Xiaoxin Yin, Jiawei Han, Philip S. Yu: Truth Discovery with Multiple Conflicting Information Providers on the Web. IEEE Trans. Knowl. Data Eng. 20(6): 796-808 (2008)
- [j158]Charu C. Aggarwal, Philip S. Yu: On static and dynamic methods for condensation-based privacy-preserving data mining. ACM Trans. Database Syst. 33(1) (2008)
- [j157]Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Philip S. Yu, Lisa Fleischer, Akshay Katta: Storage optimization for large-scale distributed stream-processing systems. TOS 3(4) (2008)
- [j156]Xiaohui Gu, Zhen Wen, Philip S. Yu, Zon-Yin Shae: peerTalk: A Peer-to-Peer Multiparty Voice-over-IP System. IEEE Trans. Parallel Distrib. Syst. 19(4): 515-528 (2008)
- [j155]Ming-Jyh Hsieh, Wei-Guang Teng, Ming-Syan Chen, Philip S. Yu: DAWN: an efficient framework of DCT for data with error estimation. VLDB J. 17(4): 683-702 (2008)
- [c358]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu: Clustering on Complex Graphs. AAAI 2008: 659-664
- [c357]
- [c356]
- [c355]Haixun Wang, Jian Yin, Chang-Shing Perng, Philip S. Yu: Dual encryption for query integrity assurance. CIKM 2008: 863-872
- [c354]Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu: Fast computing reachability labelings for large graphs with high compression rate. EDBT 2008: 193-204
- [c353]Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu: Ownership protection of shape datasets with geodesic distance preservation. EDBT 2008: 276-286
- [c352]Bhuvan Bamba, Ling Liu, Philip S. Yu, Gong Zhang, Myungcheol Doo: Scalable Processing of Spatial Alarms. HiPC 2008: 232-244
- [c351]Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Shu-Ping Chang: Toward Predictive Failure Management for Distributed Stream Processing Systems. ICDCS 2008: 825-832
- [c350]Charu C. Aggarwal, Philip S. Yu: A Framework for Clustering Uncertain Data Streams. ICDE 2008: 150-159
- [c349]Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu: Direct Discriminative Pattern Mining for Effective Classification. ICDE 2008: 169-178
- [c348]Bugra Gedik, Kun-Lung Wu, Philip S. Yu: Efficient Construction of Compact Shedding Filters for Data Stream Processing. ICDE 2008: 396-405
- [c347]Charu C. Aggarwal, Philip S. Yu: LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. ICDE 2008: 426-435
- [c346]Junyi Xie, Jun Yang, Yuguo Chen, Haixun Wang, Philip S. Yu: A Sampling-Based Approach to Information Recovery. ICDE 2008: 476-485
- [c345]Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang: Fast Graph Pattern Matching. ICDE 2008: 913-922
- [c344]Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. Yu: Stop Chasing Trends: Discovering High Order Models in Evolving Data. ICDE 2008: 923-932
- [c343]Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu: MobiQual: QoS-aware Load Shedding in Mobile CQ Systems. ICDE 2008: 1121-1130
- [c342]Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu: Rights Protection of Trajectory Datasets. ICDE 2008: 1349-1351
- [c341]Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Shu-Ping Chang: Online Failure Forecast for Fault-Tolerant Data Stream Processing. ICDE 2008: 1388-1390
- [c340]Charu C. Aggarwal, Philip S. Yu: On High Dimensional Indexing of Uncertain Data. ICDE 2008: 1460-1461
- [c339]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu: Graph OLAP: Towards Online Analytical Processing on Graphs. ICDM 2008: 103-112
- [c338]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long: Dirichlet Process Based Evolutionary Clustering. ICDM 2008: 648-657
- [c337]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long: Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. ICDM 2008: 658-667
- [c336]
- [c335]Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang: Multi-Space-Mapped SVMs for Multi-class Classification. ICDM 2008: 911-916
- [c334]Stephen J. H. Yang, Jia Zhang, Angus F. M. Huang, Jeffrey J. P. Tsai, Philip S. Yu: A Context-Driven Content Adaptation Planner for Improving Mobile Internet Accessibility. ICWS 2008: 88-95
- [c333]Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure: Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD 2008: 230-238
- [c332]Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos: Colibri: fast mining of large static and dynamic graphs. KDD 2008: 686-694
- [c331]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu: Anonymizing transaction databases for publication. KDD 2008: 767-775
- [c330]Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu: Forward Semi-supervised Feature Selection. PAKDD 2008: 970-976
- [c329]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu: Hierarchical, Parameter-Free Community Discovery. ECML/PKDD (2) 2008: 170-187
- [c328]
- [c327]Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu: Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. SDM 2008: 565-576
- [c326]Charu C. Aggarwal, Philip S. Yu: On Indexing High Demensional Data with Uncertainty. SDM 2008: 621-631
- [c325]Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu: Mining Sequence Classifiers for Early Prediction. SDM 2008: 644-655
- [c324]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos: Proximity Tracking on Time-Evolving Bipartite Graphs. SDM 2008: 704-715
- [c323]Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang: A General Model for Multiple View Unsupervised Learning. SDM 2008: 822-833
- [c322]Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu: Mining significant graph patterns by leap search. SIGMOD Conference 2008: 433-444
- [c321]Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip S. Yu, Myungcheol Doo: SPADE: the system s declarative stream processing engine. SIGMOD Conference 2008: 1123-1134
- [c320]Deepak Rajan, Philip S. Yu: Temperature-Aware Scheduling: When is System-Throttling Good Enough? WAIM 2008: 397-404
- [c319]Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu: Identifying the influential bloggers in a community. WSDM 2008: 207-218
- [c318]Xiaowen Ding, Bing Liu, Philip S. Yu: A holistic lexicon-based approach to opinion mining. WSDM 2008: 231-240
- [p9]Charu C. Aggarwal, Philip S. Yu: Privacy-Preserving Data Mining: A Survey. Handbook of Database Security 2008: 431-460
- [p8]Charu C. Aggarwal, Philip S. Yu: An Introduction to Privacy-Preserving Data Mining. Privacy-Preserving Data Mining 2008: 1-9
- [p7]Charu C. Aggarwal, Philip S. Yu: A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Privacy-Preserving Data Mining 2008: 11-52
- [p6]Charu C. Aggarwal, Philip S. Yu: A Survey of Randomization Methods for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining 2008: 137-156
- [p5]Hong Cheng, Philip S. Yu, Jiawei Han: Approximate Frequent Itemset Mining In the Presence of Random Noise. Soft Computing for Knowledge Discovery and Data Mining 2008: 363-389
- [e16]Charu C. Aggarwal, Philip S. Yu (Eds.): Privacy-Preserving Data Mining - Models and Algorithms. Advances in Database Systems 34, Springer 2008, ISBN 978-0-387-70991-8
- 2007
- [j154]James Zijun Wang, Zhidian Du, Rapeeporn Payattakool, Philip S. Yu, Chin-Fu Chen: A new method to measure the semantic similarity of GO terms. Bioinformatics 23(10): 1274-1281 (2007)
- [j153]Xiaoxin Yin, Jiawei Han, Philip S. Yu: CrossClus: user-guided multi-relational clustering. Data Min. Knowl. Discov. 15(3): 321-348 (2007)
- [j152]Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco: Domain-Driven, Actionable Knowledge Discovery. IEEE Intelligent Systems 22(4): 78-88 (2007)
- [j151]Xingzhi Sun, Philip S. Yu: Hiding Sensitive Frequent Itemsets by a Border-Based Approach. JCSE 1(1): 74-94 (2007)
- [j150]Ke Wang, Benjamin C. M. Fung, Philip S. Yu: Handicapping attacker's confidence: an alternative to k -anonymization. Knowl. Inf. Syst. 11(3): 345-368 (2007)
- [j149]Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu: CPU load shedding for binary stream joins. Knowl. Inf. Syst. 13(3): 271-303 (2007)
- [j148]Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams: DDDM2007: Domain Driven Data Mining. SIGKDD Explorations 9(2): 84-86 (2007)
- [j147]Benjamin C. M. Fung, Ke Wang, Philip S. Yu: Anonymizing Classification Data for Privacy Preservation. IEEE Trans. Knowl. Data Eng. 19(5): 711-725 (2007)
- [j146]Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu: GrubJoin: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding. IEEE Trans. Knowl. Data Eng. 19(10): 1363-1380 (2007)
- [j145]Ming-Jyh Hsieh, Ming-Syan Chen, Philip S. Yu: Approximate Query Processing in Cube Streams. IEEE Trans. Knowl. Data Eng. 19(11): 1557-1570 (2007)
- [j144]James Zijun Wang, Philip S. Yu: Fragmental Proxy Caching for Streaming Multimedia Objects. IEEE Transactions on Multimedia 9(1): 147-156 (2007)
- [j143]Bugra Gedik, Ling Liu, Philip S. Yu: ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks. IEEE Trans. Parallel Distrib. Syst. 18(12): 1766-1783 (2007)
- [c317]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu: Graph Partitioning Based on Link Distributions. AAAI 2007: 578-583
- [c316]Jian Pei, Man Ki Mag Lau, Philip S. Yu: TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage. AINA 2007: 54-61
- [c315]James Zijun Wang, Zhidian Du, Philip S. Yu, Chin-Fu Chen: An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database. BIBM 2007: 406-411
- [c314]Deepak Rajan, Philip S. Yu: On Temperature-Aware Scheduling for Single-Processor Systems. HiPC 2007: 342-355
- [c313]Xiaohui Gu, Philip S. Yu, Haixun Wang: Adaptive Load Diffusion for Multiway Windowed Stream Joins. ICDE 2007: 146-155
- [c312]Bugra Gedik, Ling Liu, Kun-Lung Wu, Philip S. Yu: Lira: Lightweight, Region-aware Load Shedding in Mobile CQ Systems. ICDE 2007: 286-295
- [c311]Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu: A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins. ICDE 2007: 536-545
- [c310]Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigeng Zhou: GString: A Novel Approach for Efficient Search in Graph Databases. ICDE 2007: 566-575
- [c309]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng: Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE 2007: 706-715
- [c308]Xiaoxin Yin, Jiawei Han, Philip S. Yu: Object Distinction: Distinguishing Objects with Identical Names. ICDE 2007: 1242-1246
- [c307]Gang Luo, Kun-Lung Wu, Philip S. Yu: SAO: A Stream Index for Answering Linear Optimization Queries. ICDE 2007: 1302-1306
- [c306]Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu: Community Learning by Graph Approximation. ICDM 2007: 232-241
- [c305]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu: Efficient Discovery of Frequent Approximate Sequential Patterns. ICDM 2007: 751-756
- [c304]Xiaohui Gu, Philip S. Yu: Toward Self-Managed Media Stream Processing Service Overlays. ICME 2007: 2054-2057
- [c303]Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu: Relational clustering by symmetric convex coding. ICML 2007: 569-576
- [c302]Xiaohui Gu, Zhen Wen, Philip S. Yu: BridgeNet: An Adaptive Multi-Source Stream Dissemination Overlay Network. INFOCOM 2007: 2586-2590
- [c301]Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Philip S. Yu, Lisa Fleischer, Akshay Katta: Storage Optimization for Large-Scale Distributed Stream Processing Systems. IPDPS 2007: 1-8
- [c300]Xifeng Yan, Michael R. Mehan, Yu Huang, Michael S. Waterman, Philip S. Yu, Xianghong Jasmine Zhou: A graph-based approach to systematically reconstruct human transcriptional regulatory modules. ISMB/ECCB (Supplement of Bioinformatics) 2007: 577-586
- [c299]
- [c298]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu: Time-dependent event hierarchy construction. KDD 2007: 300-309
- [c297]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu: A probabilistic framework for relational clustering. KDD 2007: 470-479
- [c296]Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu: GraphScope: parameter-free mining of large time-evolving graphs. KDD 2007: 687-696
- [c295]Xiaoxin Yin, Jiawei Han, Philip S. Yu: Truth discovery with multiple conflicting information providers on the web. KDD 2007: 1048-1052
- [c294]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu: gPrune: A Constraint Pushing Framework for Graph Pattern Mining. PAKDD 2007: 388-400
- [c293]Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu: Visual Exploration of Genomic Data. PKDD 2007: 613-620
- [c292]Charu C. Aggarwal, Philip S. Yu: On Privacy-Preservation of Text and Sparse Binary Data with Sketches. SDM 2007
- [c291]
- [c290]Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu: A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SDM 2007
- [c289]Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu: A System for Keyword Search on Textual Streams. SDM 2007
- [c288]Hao He, Haixun Wang, Jun Yang, Philip S. Yu: BLINKS: ranked keyword searches on graphs. SIGMOD Conference 2007: 305-316
- [c287]Gang Luo, Chunqiang Tang, Philip S. Yu: Resource-adaptive real-time new event detection. SIGMOD Conference 2007: 497-508
- [c286]Bugra Gedik, Philip S. Yu, Rajesh Bordawekar: Executing Stream Joins on the Cell Processor. VLDB 2007: 363-374
- [c285]Spiros Papadimitriou, Feifei Li, George Kollios, Philip S. Yu: Time Series Compressibility and Privacy. VLDB 2007: 459-470
- [c284]Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu: Towards Graph Containment Search and Indexing. VLDB 2007: 926-937
- [c283]Peixiang Zhao, Jeffrey Xu Yu, Philip S. Yu: Graph Indexing: Tree + Delta >= Graph. VLDB 2007: 938-949
- [c282]Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang: Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB 2007: 1185-1196
- [c281]Bugra Gedik, Rajesh Bordawekar, Philip S. Yu: CellSort: High Performance Sorting on the Cell Processor. VLDB 2007: 1286-1207
- [c280]Claudia Canali, Michele Colajanni, Riccardo Lancellotti, Philip S. Yu: A Distributed Infrastructure Supporting Personalized Services for the Mobile Web. WiMob 2007: 66
- [p4]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On Clustering Massive Data Streams: A Summarization Paradigm. Data Streams - Models and Algorithms 2007: 9-38
- [p3]Charu C. Aggarwal, Philip S. Yu: A Survey of Synopsis Construction in Data Streams. Data Streams - Models and Algorithms 2007: 169-207
- 2006
- [j142]Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek: Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006)
- [j141]Mohamed Medhat Gaber, Philip S. Yu: Detection and Classification of Changes in Evolving Data Streams. International Journal of Information Technology and Decision Making 5(4): 659-670 (2006)
- [j140]Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu: Query indexing with containment-encoded intervals for efficient stream processing. Knowl. Inf. Syst. 9(1): 62-90 (2006)
- [j139]Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz: Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst. 10(3): 265-294 (2006)
- [j138]Mohamed Medhat Gaber, Philip S. Yu: A Holistic Approach for Resource-aware Adaptive Data Stream Mining. New Generation Comput. 25(1): 95-115 (2006)
- [j137]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu: Text Classification without Negative Examples Revisit. IEEE Trans. Knowl. Data Eng. 18(1): 6-20 (2006)
- [j136]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 18(5): 577-589 (2006)
- [j135]Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu: Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes. IEEE Trans. Knowl. Data Eng. 18(5): 651-668 (2006)
- [j134]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: Efficient Classification across Multiple Database Relations: A CrossMine Approach. IEEE Trans. Knowl. Data Eng. 18(6): 770-783 (2006)
- [j133]Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu: Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006)
- [j132]Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu: Incremental Processing of Continual Range Queries over Moving Objects. IEEE Trans. Knowl. Data Eng. 18(11): 1560-1575 (2006)
- [j131]Xifeng Yan, Feida Zhu, Philip S. Yu, Jiawei Han: Feature-based similarity search in graph structures. ACM Trans. Database Syst. 31(4): 1418-1453 (2006)
- [c279]