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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:
Incremental Graph Pattern Based Node Matching with Multiple Updates. 1585-1600 - Bo Zhang, Boxiang Dong, Wendy Hui Wang:
Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey. 1601-1618 - Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang:
Label Distribution Learning with Label Correlations on Local Samples. 1619-1631 - Ning Xu, Yun-Peng Liu, Xin Geng:
Label Enhancement for Label Distribution Learning. 1632-1643 - Mao-Lin Li, Francesco Di Mauro, K. Selçuk Candan, Maria Luisa Sapino:
Matrix Factorization with Interval-Valued Data. 1644-1658 - Sai Wu, Zhifei Pang, Gang Chen, Yunjun Gao, Cenjiong Zhao, Shili Xiang:
NEIST: A Neural-Enhanced Index for Spatio-Temporal Queries. 1659-1673 - Zahid Halim, Omer Ali, Muhammad Ghufran Khan:
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets. 1674-1691 - Peng Peng, Qi Ge, Lei Zou, M. Tamer Özsu, Zhiwei Xu, Dongyan Zhao:
Optimizing Multi-Query Evaluation in Federated RDF Systems. 1692-1707 - Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou:
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. 1708-1721 - Xiao Bai, Reza Abasi, Bora Edizel, Amin Mantrach:
Position-Aware Deep Character-Level CTR Prediction for Sponsored Search. 1722-1736 - Yashen Wang, Heyan Huang, Chong Feng:
Query Expansion With Local Conceptual Word Embeddings in Microblog Retrieval. 1737-1749 - Taygun Kekeç, David M. J. Tax:
Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations. 1750-1762 - Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. 1763-1777 - Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. 1778-1789 - Jing Li, Aixin Sun, Yukun Ma:
Neural Named Entity Boundary Detection. 1790-1795 - Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. 1796-1801 - Jipeng Qiang, Xindong Wu:
Unsupervised Statistical Text Simplification. 1802-1806
Volume 33, Number 5, May 2021
- Megha Khosla, Vinay Setty, Avishek Anand:
A Comparative Study for Unsupervised Network Representation Learning. 1807-1818 - Anna Gatzioura, João Vinagre, Alípio Mário Jorge, Miquel Sànchez-Marrè:
A Hybrid Recommender System for Improving Automatic Playlist Continuation. 1819-1830 - Junfeng Wu, Jing He, Chi-Hung Chi, Guangyan Huang:
Absorbing Diagonal Algorithm: An Eigensolver of $O\left(n^{2.584963}\log \frac{1}{\varepsilon }\right)$On2.584963log1ɛ Complexity at Accuracy $\varepsilon$ɛ. 1831-1847 - Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. 1848-1860 - Junhua Fang, Rong Zhang, Yan Zhao, Kai Zheng, Xiaofang Zhou, Aoying Zhou:
A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System. 1861-1876 - Yongxuan Lai, Songyao He, Zhijie Lin, Fan Yang, Qifeng Zhou, Xiaofang Zhou:
An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble. 1877-1890 - Yong Tian, Lian Zhou, Yuejie Zhang, Tao Zhang, Weiguo Fan:
Deep Cross-Modal Face Naming for People News Retrieval. 1891-1905 - Xiaoxuan Shen, Baolin Yi, Hai Liu, Wei Zhang, Zhaoli Zhang, Sannyuya Liu, Naixue Xiong:
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System. 1906-1918 - Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. 1919-1933 - Di Zhuang, J. Morris Chang, Mingchen Li:
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity. 1934-1945 - Jianfeng Dong, Xun Wang, Leimin Zhang, Chaoxi Xu, Gang Yang, Xirong Li:
Feature Re-Learning with Data Augmentation for Video Relevance Prediction. 1946-1959 - Yun Xiong, Yizhou Zhang, Xiangnan Kong, Huidi Chen, Yangyong Zhu:
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks. 1960-1972 - Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei:
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling. 1973-1987 - Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Boyu Wang, Mehrdad Saif, Shiladitya Chakrabarti:
Imputation-Based Ensemble Techniques for Class Imbalance Learning. 1988-2001 - Yanyan Wang, Qun Chen, Murtadha H. M. Ahmed, Zhanhuai Li, Wei Pan, Hailong Liu:
Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints. 2002-2014 - Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo:
Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks. 2015-2028 - Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao:
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. 2029-2044 - Giannis Nikolentzos, Michalis Vazirgiannis:
Learning Structural Node Representations Using Graph Kernels. 2045-2056 - Min-Ling Zhang, Qian-Wen Zhang, Jun-Peng Fang, Yu-Kun Li, Xin Geng:
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. 2057-2070 - Yufeng Li, De-Ming Liang:
Lightweight Label Propagation for Large-Scale Network Data. 2071-2082 - Jing Zhang, Xindong Wu:
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. 2083-2095 - Xian Zhou, Yanyan Shen, Linpeng Huang, Tianzi Zang, Yanmin Zhu:
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction. 2096-2108 - Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Multi-Instance Learning With Emerging Novel Class. 2109-2120 - Bay-Yuan Hsu, Chih-Ya Shen, Xifeng Yan:
Network Intervention for Mental Disorders with Minimum Small Dense Subgroups. 2121-2136 - Omer Tal, Yang Liu, Jimmy X. Huang, Xiaohui Yu, Bushra Aljbawi:
Neural Attention Frameworks for Explainable Recommendation. 2137-2150 - Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. 2151-2164 - Xiaofeng Gao, Zuowu Zheng, Quanquan Chu, Shaojie Tang, Guihai Chen, Qianni Deng:
Popularity Prediction for Single Tweet Based on Heterogeneous Bass Model. 2165-2178 - Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks with Motif-Based PageRank. 2179-2192 - Qi Zhang, Tianguang Chu, Cishen Zhang:
Semi-Supervised Graph Based Embedding With Non-Convex Sparse Coding Techniques. 2193-2207 - Xiaoyan Yin, Xiao Hu, Yanjiao Chen, Xu Yuan, Baochun Li:
Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks. 2208-2222 - Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye:
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. 2223-2236 - Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang:
SQL-G: Efficient Graph Analytics by SQL. 2237-2251 - Junwei Han, Kai Xiong, Feiping Nie, Xuelong Li:
Structured Graph Reconstruction for Scalable Clustering. 2252-2265 - Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini:
The Impact of Task Abandonment in Crowdsourcing. 2266-2279 - Woohwan Jung, Suyong Kwon, Kyuseok Shim:
TIDY: Publishing a Time Interval Dataset With Differential Privacy. 2280-2294 - Yongxin Tong, Yuxiang Zeng, Bolin Ding, Libin Wang, Lei Chen:
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing. 2295-2309
Volume 33, Number 6, June 2021
- Jianguo Chen, Philip S. Yu:
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution. 2310-2321 - Jiaxin Jiang, Byron Choi, Jianliang Xu, Sourav S. Bhowmick:
A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs. 2322-2336 - Deng Cai:
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search. 2337-2348 - Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao:
A Survey on Canonical Correlation Analysis. 2349-2368 - Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering With Outlier Removal. 2369-2379 - Tomer Geva, Inbal Yahav:
Data-Driven Link Screening for Increasing Network Predictability. 2380-2391 - Nantia Makrynioti, Vasilis Vassalos:
Declarative Data Analytics: A Survey. 2392-2411 - Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. 2412-2424 - Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang:
Efficient Utilization of Missing Data in Cost-Sensitive Learning. 2425-2436 - Ke Xu, Junwen Mo, Yi Cai, Huaqing Min:
Enhancing Recommender Systems With a Stimulus-Evoked Curiosity Mechanism. 2437-2451 - Natalia M. Arzeno, Haris Vikalo:
Evolutionary Clustering via Message Passing. 2452-2466 - Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. 2467-2478 - Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang:
Finding Route Hotspots in Large Labeled Networks. 2479-2492 - Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. 2493-2504 - Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. 2505-2519 - Ling Huang, Chang-Dong Wang, Hongyang Chao:
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. 2520-2533 - Binbin Gu, Zhixu Li, An Liu, Jiajie Xu, Lei Zhao, Xiaofang Zhou:
Improving the Quality of Web-Based Data Imputation With Crowd Intervention. 2534-2547 - Pengfei Wan, Xiaoming Wang, Xinyan Wang, Liang Wang, Yaguang Lin, Wei Zhao:
Intervening Coupling Diffusion of Competitive Information in Online Social Networks. 2548-2559 - Jiangtao Li, Jianshe Wu, Weiquan He, Peng Zhou:
Large-Scale Nodes Classification With Deep Aggregation Network. 2560-2572 - Abdelkader Baggag, Sofiane Abbar, Ankit Sharma, Tahar Zanouda, Abdulaziz Al-Homaid, Abhiraj Mohan, Jaideep Srivastava:
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting. 2573-2587 - Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. 2588-2601 - Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Learning With Feature Evolvable Streams. 2602-2615 - Yan Zhu, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data. 2616-2626 - Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi:
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. 2627-2639 - Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu:
Mixture Matrix Approximation for Collaborative Filtering. 2640-2653 - Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter, Weiguo Zheng, Lei Zou:
MSQ-Index: A Succinct Index for Fast Graph Similarity Search. 2654-2668 - Hsin-Min Lu, Jih-Shin Chen, Wei-Chun Liao:
Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression. 2669-2679 - Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. 2680-2692 - Chengyu Wang, Xiaofeng He, Aoying Zhou:
Open Relation Extraction for Chinese Noun Phrases. 2693-2708 - Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR++: Active One-Shot Personalized Article Recommendation. 2709-2722 - Kai Zhao, Denis Khryashchev, Huy T. Vo:
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability. 2723-2736 - Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang:
Robust Detection of Link Communities With Summary Description in Social Networks. 2737-2749 - Wei Song, Hans-Arno Jacobsen, Pengcheng Zhang:
Self-Healing Event Logs. 2750-2763 - Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo:
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. 2764-2775 - Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen:
Subgraph Networks With Application to Structural Feature Space Expansion. 2776-2789 - Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui:
Sys-TM: A Fast and General Topic Modeling System. 2790-2802 - Zeke Wang, Xue Liu, Kai Zhang, Haihang Zhou, Bingsheng He:
Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts. 2803-2817
Volume 33, Number 7, July 2021
- Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar:
A New Pattern Representation Method for Time-Series Data. 2818-2832 - Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang:
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. 2833-2846 - Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Jane You:
Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification. 2847-2862 - Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili:
Detection of Community Structures in Networks With Nodal Features based on Generative Probabilistic Approach. 2863-2874 - Víctor Martínez, Fernando Berzal, Juan C. Cubero:
Disambiguation of Semantic Relations Using Evidence Aggregation According to a Sense Inventory. 2875-2887 - Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper:
Dynamic Ridesharing in Peak Travel Periods. 2888-2902 - Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. 2903-2913 - Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu:
Group-Based Skyline for Pareto Optimal Groups. 2914-2929 - Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. 2930-2942 - Zhicheng Liu, Jun Cao, Renjie Xie, Junyan Yang, Qiao Wang:
Modeling Submarket Effect for Real Estate Hedonic Valuation: A Probabilistic Approach. 2943-2955 - Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Social Recommendation With Learning Personal and Social Latent Factors. 2956-2970 - João Vinagre, Alípio Mário Jorge, Conceição Rocha, João Gama:
Statistically Robust Evaluation of Stream-Based Recommender Systems. 2971-2982 - Kaiqi Chen, Lanlan Yu, Tingting Zhu, Ping Li, Jürgen Kurths:
Succinct Representation of Dynamic Networks. 2983-2994 - Yubin Park, Joyce C. Ho:
Tackling Overfitting in Boosting for Noisy Healthcare Data. 2995-3006
Volume 33, Number 8, August 2021
- Fangzhou Zhu, Mingxuan Yuan, Xike Xie, Ting Wang, Shenglin Zhao, Weixiong Rao, Jia Zeng:
A Data-Driven Sequential Localization Framework for Big Telco Data. 3007-3019 - Xudong Wu, Luoyi Fu, Huan Long, Dali Yang, Yucheng Lu, Xinbing Wang, Guihai Chen:
Adaptive Diffusion of Sensitive Information in Online Social Networks. 3020-3034 - Changhe Song, Cheng Yang, Huimin Chen, Cunchao Tu, Zhiyuan Liu, Maosong Sun:
CED: Credible Early Detection of Social Media Rumors. 3035-3047 - Fernando Martínez-Plumed, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter A. Flach:
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. 3048-3061 - Shun Guo, Nianmin Yao:
Document Vector Extension for Documents Classification. 3062-3074 - Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento:
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies. 3075-3089 - Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo:
Learning Graph Representation With Generative Adversarial Nets. 3090-3103 - Avigdor Gal, Haggai Roitman, Roee Shraga:
Learning to Rerank Schema Matches. 3104-3116 - Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson:
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. 3117-3128 - Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-Preserving Stochastic Gradual Learning. 3129-3140 - Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. 3141-3154 - Saerom Park, Jaewook Lee:
Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System. 3155-3159
Volume 33, Number 9, September 2021
- Guoshuai Zhao, Zhidan Liu, Yulu Chao, Xueming Qian:
CAPER: Context-Aware Personalized Emoji Recommendation. 3160-3172 - Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen, Yu-Chu Tian:
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. 3173-3186 - Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini:
Compressed Indexes for Fast Search of Semantic Data. 3187-3198 - Cecília Nunes, Hélène Langet, Mathieu De Craene, Oscar Camara, Bart H. Bijnens, Anders Jonsson:
Decision Tree Learning for Uncertain Clinical Measurements. 3199-3211 - Loredana Caruccio, Vincenzo Deufemia, Felix Naumann, Giuseppe Polese:
Discovering Relaxed Functional Dependencies Based on Multi-Attribute Dominance. 3212-3228 - Zhou Shao, Muhammad Aamir Cheema, David Taniar, Hua Lu, Shiyu Yang:
Efficiently Processing Spatial and Keyword Queries in Indoor Venues. 3229-3244 - Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, Xuelong Li:
Fast Semi-Supervised Learning With Optimal Bipartite Graph. 3245-3257 - Gianni Barlacchi, Bruno Lepri, Alessandro Moschitti:
Land Use Classification With Point of Interests and Structural Patterns. 3258-3269 - Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li:
Privacy Preserving Location Data Publishing: A Machine Learning Approach. 3270-3283 - Defu Lian, Xing Xie, Enhong Chen, Hui Xiong:
Product Quantized Collaborative Filtering. 3284-3296 - Xinsong Zhang, Tianyi Liu, Pengshuai Li, Weijia Jia, Hai Zhao:
Robust Neural Relation Extraction via Multi-Granularity Noises Reduction. 3297-3310 - Ping Wang, Tian Shi, Chandan K. Reddy:
A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model. 3311-3322
Volume 33, Number 10, October 2021
- Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen:
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News. 3323-3337 - Yuan Wan, Shengzi Sun, Cheng Zeng:
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection. 3338-3350 - Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong:
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. 3351-3365 - Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
Graph Ranking Auditing: Problem Definition and Fast Solutions. 3366-3380 - Qing Liu, Ziyuan Zhu, Jianliang Xu, Yunjun Gao:
MaxiZone: Maximizing Influence Zone Over Geo-Textual Data. 3381-3393 - Heidar Davoudi, Zana Rashidi, Aijun An, Morteza Zihayat, Gordon Edall:
Paywall Policy Learning in Digital News Media. 3394-3409 - Xiaofeng Gao, Haowei Huang, Chenlin Liu, Fan Wu, Guihai Chen:
Quality Inference Based Task Assignment in Mobile Crowdsensing. 3410-3423 - Wei Wu, Jian Liu, Huimei Wang, Jialu Hao, Ming Xian:
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique. 3424-3437 - Yiyan Qi, Pinghui Wang, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, Guangjian Tian, John C. S. Lui, Xiaohong Guan:
Streaming Algorithms for Estimating High Set Similarities in LogLog Space. 3438-3452 - Yunjun Gao, Tianming Zhang, Linshan Qiu, Qingyuan Linghu, Gang Chen:
Time-Respecting Flow Graph Pattern Matching on Temporal Graphs. 3453-3467 - Tong Xia, Yong Li, Yue Yu, Fengli Xu, Qingmin Liao, Depeng Jin:
Understanding Urban Dynamics via State-Sharing Hidden Markov Model. 3468-3481
Volume 33, Number 11, November 2021
- Nikolaos Panagiotou, Cem Akkaya, Kostas Tsioutsiouliklis, Vana Kalogeraki, Dimitrios Gunopulos:
A General Framework for First Story Detection Utilizing Entities and Their Relations. 3482-3493 - Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie:
Automatic Treatment Regimen Design. 3494-3506 - Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, Xin-Shun Xu:
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing. 3507-3519 - Fangda Guo, Ye Yuan, Guoren Wang, Lei Chen, Xiang Lian, Zimeng Wang:
Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria. 3520-3536 - Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo:
CrowdChart: Crowdsourced Data Extraction From Visualization Charts. 3537-3549 - Bin Cao, Yuqi Liu, Chenyu Hou, Jing Fan, Baihua Zheng, Jianwei Yin:
Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning. 3550-3567 - Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou:
Game Theoretical Adversarial Deep Learning With Variational Adversaries. 3568-3581 - Liang Wang, Simeng Wu, Tianheng Wu, Xianping Tao, Jian Lu:
HKMF-T: Recover From Blackouts in Tagged Time Series With Hankel Matrix Factorization. 3582-3593 - Yuan Xie, Bingqian Lin, Yanyun Qu, Cuihua Li, Wensheng Zhang, Lizhuang Ma, Yonggang Wen, Dacheng Tao:
Joint Deep Multi-View Learning for Image Clustering. 3594-3606 - Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang:
Modeling Relation Paths for Knowledge Graph Completion. 3607-3617 - Yinan Liu, Wei Shen, Zonghai Yao, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan:
Named Entity Location Prediction Combining Twitter and Web. 3618-3633 - Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu:
Network Embedding With Completely-Imbalanced Labels. 3634-3647 - Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau:
Towards De-Anonymization of Google Play Search Rank Fraud. 3648-3661
Volume 33, Number 12, December 2021
- Fabian Laforet, Christian Olms, Rudolf Biczok, Klemens Böhm:
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy. 3662-3674 - Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui:
Collaborative Learning for Extremely Low Bit Asymmetric Hashing. 3675-3685 - Yue Wang, Yulin Che, Xiang Lian, Lei Chen, Qiong Luo:
Fast and Accurate SimRank Computation via Forward Local Push and its Parallelization. 3686-3700 - Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Xiaofeng Gao, Shuo Shang, Shuai Ma, Minyi Guo:
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks. 3701-3715 - Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. 3716-3728 - Xiaofeng Chen, Hui Li, Jin Li, Qian Wang, Xinyi Huang, Willy Susilo, Yang Xiang:
Publicly Verifiable Databases With All Efficient Updating Operations. 3729-3740
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