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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 33
Volume 33, Number 1, January 2021
- Giuseppe Manco
, Ettore Ritacco, Nicola Barbieri:
A Factorization Approach for Survival Analysis on Diffusion Networks. 1-13 - Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou:
A Reliable Storage Partition for Permissioned Blockchain. 14-27 - Lucile Sautot, Sandro Bimonte, Ludovic Journaux:
A Semi-Automatic Design Methodology for (Big) Data Warehouse Transforming Facts into Dimensions. 28-42 - Wei Li, Hai Zhuge:
Abstractive Multi-Document Summarization Based on Semantic Link Network. 43-54 - Rustem Dautov, Salvatore Distefano:
Automating IoT Data-Intensive Application Allocation in Clustered Edge Computing. 55-69 - Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks. 70-84 - Jong-Ryul Lee, Chin-Wan Chung:
Efficient Distance Sensitivity Oracles for Real-World Graph Data. 85-99 - Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. 100-115 - Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Vyacheslav Lyubchich, Bhavani Thuraisingham:
GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. 116-127 - Zengmao Wang, Bo Du, Weiping Tu, Lefei Zhang, Dacheng Tao:
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning. 128-142 - Shan Gao, Ah-Hwee Tan, Rossi Setchi:
Learning ADL Daily Routines with Spatiotemporal Neural Networks. 143-153 - Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li:
Metagraph-Based Learning on Heterogeneous Graphs. 154-168 - Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang:
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. 169-179 - Huan Yan, Chunfeng Yang, Donghan Yu, Yong Li, Depeng Jin, Dah Ming Chiu:
Multi-Site User Behavior Modeling and Its Application in Video Recommendation. 180-193 - Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
On Both Cold-Start and Long-Tail Recommendation with Social Data. 194-208 - Gabriele Civitarese, Timo Sztyler, Daniele Riboni, Claudio Bettini, Heiner Stuckenschmidt:
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. 209-223 - Zhongbao Zhang, Li Sun, Sen Su, Jielun Qu, Gen Li:
Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach. 224-238 - G. Dumindu Samaraweera, J. Morris Chang:
Security and Privacy Implications on Database Systems in Big Data Era: A Survey. 239-258 - Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. 259-270 - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. 271-286 - Li-Yen Kuo, Chung-Kuang Chou, Ming-Syan Chen:
The Framework of Personalized Ranking on Poisson Factorization. 287-301 - Quan Do, Wei Liu, Jin Fan, Dacheng Tao:
Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation. 302-315
Volume 33, Number 2, February 2021
- Liang Li, Guoren Wang, Gang Wu, Ye Yuan, Lei Chen, Xiang Lian:
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems. 316-330 - Xiaofeng Ding, Cui Wang, Kim-Kwang Raymond Choo, Hai Jin:
A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing. 331-343 - Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Anna: A KVS for Any Scale. 344-358 - Huan Hu, Jianzhong Li:
Bit-Oriented Sampling for Aggregation on Big Data. 359-373 - Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang:
Clustering with Local Density Peaks-Based Minimum Spanning Tree. 374-387 - Renfeng Ma, Xipeng Qiu, Qi Zhang, Xiangkun Hu, Yu-Gang Jiang, Xuanjing Huang:
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation. 388-400 - Yong Ge, Zijun Yao, Huayu Li:
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. 401-414 - Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. 415-430 - Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang:
Content to Node: Self-Translation Network Embedding. 431-443 - Yue Wang, Zonghao Feng, Lei Chen, Zijian Li, Xun Jian, Qiong Luo:
Efficient Similarity Search for Sets over Graphs. 444-458 - Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li:
Enhanced Privacy Preserving Group Nearest Neighbor Search. 459-473 - Yurong Cheng, Ye Yuan, Lei Chen, Christophe G. Giraud-Carrier, Guoren Wang, Boyang Li:
Event-Participant and Incremental Planning over Event-Based Social Networks. 474-488 - Jianbin Qin, Chuan Xiao, Yaoshu Wang, Wei Wang, Xuemin Lin, Yoshiharu Ishikawa, Guoren Wang:
Generalizing the Pigeonhole Principle for Similarity Search in Hamming Space. 489-505 - Zhe Jiang, Miao Xie, Arpan Man Sainju:
Geographical Hidden Markov Tree. 506-520 - Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching Based Partial Label Learning. 521-535 - Wenwen Min, Juan Liu, Shihua Zhang:
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. 536-550 - Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang:
Improving Data Analytics with Fast and Adaptive Regularization. 551-568 - Dan Chen, Yunbo Tang, Hao Zhang, Lizhe Wang, Xiaoli Li:
Incremental Factorization of Big Time Series Data with Blind Factor Approximation. 569-584 - Han Xiao, Yidong Chen, Xiaodong Shi:
Knowledge Graph Embedding Based on Multi-View Clustering Framework. 585-596 - André Kohn, Viktor Leis, Thomas Neumann:
Making Compiling Query Engines Practical. 597-612 - Dong Li, Jiming Liu:
Modeling Influence Diffusion over Signed Social Networks. 613-625 - Sangdi Lin, Bahareh Azarnoush, George C. Runger:
MTBR: Multi-Target Boosting for Regression. 626-636 - Dimitris Berberidis, Georgios B. Giannakis:
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs. 637-650 - Jiajie Xu, Jing Zhao, Rui Zhou, Chengfei Liu, Pengpeng Zhao, Lei Zhao:
Predicting Destinations by a Deep Learning based Approach. 651-666 - Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. 667-681 - Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang:
Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities. 682-695 - Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang:
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. 696-709 - Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao:
Signed Clique Search in Signed Networks: Concepts and Algorithms. 710-727 - Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu:
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. 728-741 - Hao Huang, Qian Yan, Lu Chen, Yunjun Gao, Christian S. Jensen:
Statistical Inference of Diffusion Networks. 742-753 - Shanqing Yu, Minghao Zhao, Chenbo Fu, Jun Zheng, Huimin Huang, Xincheng Shu, Qi Xuan, Guanrong Chen:
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. 754-767 - Tsz Nam Chan, Man Lung Yiu, Leong Hou U:
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds. 768-781 - Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. 782-795 - Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia:
User-Driven Geolocated Event Detection in Social Media. 796-809
Volume 33, Number 3, March 2021
- Satendra Pal Singh, Gaurav Bhatnagar:
A Novel Biometric Inspired Robust Security Framework for Medical Images. 810-823 - Pan Zhou, Kehao Wang, Linke Guo, Shimin Gong, Bolong Zheng:
A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems. 824-838 - Wissam Siblini, Pascale Kuntz, Frank Meyer:
A Review on Dimensionality Reduction for Multi-Label Classification. 839-857 - Chao-Hua Yu, Fei Gao, Qiao-Yan Wen:
An Improved Quantum Algorithm for Ridge Regression. 858-866 - Feng Zhang, Jidong Zhai, Bo Wu, Bingsheng He, Wenguang Chen, Xiaoyong Du:
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures. 867-881 - Xin Hong, Hailin Li, Paul Miller, Jianjiang Zhou, Ling Li, Danny Crookes, Yonggang Lu, Xuelong Li, Huiyu Zhou:
Component-Based Feature Saliency for Clustering. 882-896 - Bo Zhang, Boxiang Dong, Wendy Hui Wang:
CorrectMR: Authentication of Distributed SQL Execution on MapReduce. 897-908 - Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. 909-920 - Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng:
Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. 921-934 - Kamal Taha:
Detecting Disjoint Communities in a Social Network Based on the Degrees of Association Between Edges and Influential Nodes. 935-950 - Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, Zhi-Hua Zhou:
Distribution-Free One-Pass Learning. 951-963 - Saeed Shahrivari, Saeed Jalili:
Efficient Distributed k-Clique Mining for Large Networks Using MapReduce. 964-974 - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen:
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. 975-990 - Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. 991-1004 - Pengfei Li, Hua Lu, Qian Zheng, Shijian Li, Gang Pan:
HisRect: Features from Historical Visits and Recent Tweet for Co-Location Judgement. 1005-1018 - Yifan Hao, Huiping Cao, Abdullah Mueen, Sukumar Brahma:
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series. 1019-1031 - Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu:
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs. 1032-1044 - Yu Yang, Jian Pei:
Influence Analysis in Evolving Networks: A Survey. 1045-1063 - Dingxiong Deng, Fan Bai, Yiqi Tang, Shuigeng Zhou, Cyrus Shahabi, Linhong Zhu:
Label Propagation on K-Partite Graphs with Heterophily. 1064-1077 - Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. 1078-1088 - Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. 1089-1101 - Wenjian Luo, Daofu Zhang, Li Ni, Nannan Lu:
Multiscale Local Community Detection in Social Networks. 1102-1112 - Shizhe Hu, Xiaoqiang Yan, Yangdong Ye:
Multi-Task Image Clustering through Correlation Propagation. 1113-1127 - Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan:
Neural Diffusion Model for Microscopic Cascade Study. 1128-1139 - Yazeed Alabdulkarim, Marwan Almaymoni, Shahram Ghandeharizadeh:
Polygraph: A Plug-n-Play Framework to Quantify Application Anomalies. 1140-1155 - Jiayang Tu, Peng Cheng, Lei Chen:
Quality-Assured Synchronized Task Assignment in Crowdsourcing. 1156-1168 - Yong Ge, Huayu Li, Alexander Tuzhilin:
Route Recommendations for Intelligent Transportation Services. 1169-1182 - Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos:
Semantics-Aware Hidden Markov Model for Human Mobility. 1183-1194 - Da Cao, Xiangnan He, Lianhai Miao, Guangyi Xiao, Hao Chen, Jia Xu:
Social-Enhanced Attentive Group Recommendation. 1195-1209 - Feiping Nie, Wei Zhu, Xuelong Li:
Structured Graph Optimization for Unsupervised Feature Selection. 1210-1222 - Yongqiang Tang, Yuan Xie, Xuebing Yang, Jinghao Niu, Wensheng Zhang:
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering. 1223-1237 - Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya:
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services. 1238-1250 - Yafei Li, Ji Wan, Rui Chen, Jianliang Xu, Xiaoyi Fu, Hongyan Gu, Pei Lv, Mingliang Xu:
Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach. 1251-1263 - Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. 1264-1275 - Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang:
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning. 1276-1290 - Buddhika Nettasinghe, Vikram Krishnamurthy:
"What Do Your Friends Think?": Efficient Polling Methods for Networks Using Friendship Paradox. 1291-1305
Volume 33, Number 4, April 2021
- Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. 1306-1327 - Yuji Roh, Geon Heo, Steven Euijong Whang:
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective. 1328-1347 - Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
An Embedding-Based Approach to Rule Learning in Knowledge Graphs. 1348-1359 - Xiaoye Miao, Yunjun Gao, Su Guo, Lu Chen, Jianwei Yin, Qing Li:
Answering Skyline Queries Over Incomplete Data With Crowdsourcing. 1360-1374 - Hongyun Cai, Fuzhi Zhang:
BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems. 1375-1388 - Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Co-Clustering Ensembles Based on Multiple Relevance Measures. 1389-1400 - Sumeet Bajaj, Anrin Chakraborti, Radu Sion:
ConcurDB: Concurrent Query Authentication for Outsourced Databases. 1401-1412 - Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. 1413-1425 - Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-View Learning to Rank. 1426-1438 - Petr Lukás, Radim Baca, Michal Krátký, Tok Wang Ling:
Demythization of Structural XML Query Processing: Comparison of Holistic and Binary Approaches. 1439-1452 - Xiaolei Lu, Tommy W. S. Chow:
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction. 1453-1466 - Akansha Bhardwaj, Albert Blarer, Philippe Cudré-Mauroux, Vincent Lenders, Boris Motik, Axel Tanner, Alberto Tonon:
Event Detection on Microposts: A Comparison of Four Approaches. 1467-1478 - Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner:
Extended Isolation Forest. 1479-1489 - Gong Cheng, Daxin Liu, Yuzhong Qu:
Fast Algorithms for Semantic Association Search and Pattern Mining. 1490-1502 - Aldo Lipani, David E. Losada, Guido Zuccon, Mihai Lupu:
Fixed-Cost Pooling Strategies. 1503-1522 - Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. 1523-1539 - Gabriele Tolomei, Fabrizio Silvestri:
Generating Actionable Interpretations from Ensembles of Decision Trees. 1540-1553 - Dan He, Sibo Wang, Xiaofang Zhou, Reynold Cheng:
GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries. 1554-1566 - Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, Yannis Vassiliou:
Impact-Based Ranking of Scientific Publications: A Survey and Experimental Evaluation. 1567-1584 - Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou