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ORCID20. PAKDD 2016: Auckland, New Zealand
- James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9652, Springer 2016, ISBN 978-3-319-31749-6
Spatiotemporal and Image Data
- Sk. Minhazul Islam, Arunava Banerjee:
Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction. 3-16 - Jiaqi Ge, Yuni Xia:
Distributed Sequential Pattern Mining in Large Scale Uncertain Databases. 17-29 - Trang Pham, Truyen Tran, Dinh Q. Phung
, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. 30-41 - Frédéric Bergéron, Kevin Bouchard, Sébastien Gaboury, Sylvain Giroux, Bruno Bouchard:
Indoor Positioning System for Smart Homes Based on Decision Trees and Passive RFID. 42-53 - Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe:
Deep Feature Extraction from Trajectories for Transportation Mode Estimation. 54-66 - Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei:
Online Learning for Accurate Real-Time Map Matching. 67-78 - Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang:
Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering. 79-91 - Jun Wu, Jianbo Yuan, Jiebo Luo:
Robust Multi-view Manifold Ranking for Image Retrieval. 92-103 - Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo:
Image Representation Optimization Based on Locally Aggregated Descriptors. 104-116 - Muhammad Iqbal, Bing Xue, Mengjie Zhang:
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. 117-129 - Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. 130-142 - Kuan-Hao Huang, Hsuan-Tien Lin:
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards. 143-155 - Xin Xu, Jiaheng Lu, Wei Wang:
Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data. 156-167 - Zubair Shah, Abdun Naser Mahmood, Michael Barlow:
Computing Hierarchical Summary of the Data Streams. 168-179
Anomaly Detection and Clustering
- Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie:
Unsupervised Parameter Estimation for One-Class Support Vector Machines. 183-195 - Arnaud Giacometti, Arnaud Soulet:
Frequent Pattern Outlier Detection Without Exhaustive Mining. 196-207 - Girish Keshav Palshikar, Kuleshwar Sahu, Rajiv Srivastava:
Ensembles of Interesting Subgroups for Discovering High Potential Employees. 208-220 - Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata:
Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data. 221-232 - Tian Huang, Yongxin Zhu, Yishu Mao, Xinyang Li, Mengyun Liu, Yafei Wu, Yajun Ha, Gillian Dobbie:
Parallel Discord Discovery. 233-244 - Yuxiao Zhang, Xiaorong Wang, Bingyang Li, Wei Chen, Tengjiao Wang, Kai Lei:
Dboost: A Fast Algorithm for DBSCAN-based Clustering on High Dimensional Data. 245-256 - Haolin Yang, Deli Zhao, Le-le Cao, Fuchun Sun:
A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel. 257-270 - Xianchao Zhang, Lu Gao, Hong Yu:
Constraint Based Subspace Clustering for High Dimensional Uncertain Data. 271-282 - Qing Wang, Jingyi Gao, Peter Christen:
A Clustering-Based Framework for Incrementally Repairing Entity Resolution. 283-295 - Johannes Blömer, Kathrin Bujna:
Adaptive Seeding for Gaussian Mixture Models. 296-308 - Shuchu Han, Hong Qin:
A Greedy Algorithm to Construct L1 Graph with Ranked Dictionary. 309-321
Novel Models and Algorithms
- Hailun Lin, Yuanzhuo Wang, Peng Zhang, Weiping Wang, Yinliang Yue, Zheng Lin:
A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer. 325-337 - Jeffrey Fisher, Peter Christen, Qing Wang:
Active Learning Based Entity Resolution Using Markov Logic. 338-349 - Yan Zhou, Murat Kantarcioglu:
Modeling Adversarial Learning as Nested Stackelberg Games. 350-362 - Yuqing Sun, Haiqi Sun, Reynold Cheng:
Fast and Semantic Measurements on Collaborative Tagging Quality. 363-375 - Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos:
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms. 376-387 - Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Privacy Aware K-Means Clustering with High Utility. 388-400 - Youwen Zhu, Zhikuan Wang, Yue Zhang:
Secure k-NN Query on Encrypted Cloud Data with Limited Key-Disclosure and Offline Data Owner. 401-414 - Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, Vassilios S. Verykios:
Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage. 415-427
Text Mining and Recommender Systems
- Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than:
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. 431-442 - Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia:
Query-Focused Multi-document Summarization Based on Concept Importance. 443-453 - Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla:
Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling. 454-465 - Daxin Zhu, Yingjie Wu, Xiaodong Wang:
An Efficient Dynamic Programming Algorithm for STR-IC-STR-IC-LCS Problem. 466-477 - Chia-Hui Chang, Tian-Sheng Chen, Ming-Chuan Chen, Jhung-Li Ding:
Efficient Page-Level Data Extraction via Schema Induction and Verification. 478-490 - Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin:
Transfer-Learning Based Model for Reciprocal Recommendation. 491-502 - Xin Guan, Chang-Tsun Li, Yu Guan:
Enhanced SVD for Collaborative Filtering. 503-514 - Chunfeng Yang, Yipeng Zhou, Liang Chen, Xiaopeng Zhang, Dah-Ming Chiu:
Social Group Based Video Recommendation Addressing the Cold-Start Problem. 515-527 - Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee:
FeRoSA: A Faceted Recommendation System for Scientific Articles. 528-541 - Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Dual Similarity Regularization for Recommendation. 542-554 - Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. 555-567
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