default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 32
Volume 32, Number 1, January 2020
- Georgios Giasemidis
, Nikolaos Kaplis, Ioannis Agrafiotis, Jason R. C. Nurse:
A Semi-Supervised Approach to Message Stance Classification. 1-11 - Asieh Ghanbarpour, Hassan Naderi:
An Attribute-Specific Ranking Method Based on Language Models for Keyword Search over Graphs. 12-25 - Bolong Zheng, Kai Zheng, Christian S. Jensen, Nguyen Quoc Viet Hung, Han Su, Guohui Li, Xiaofang Zhou:
Answering Why-Not Group Spatial Keyword Queries. 26-39 - Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A General Model for Privacy-Preserving Data Mining. 40-53 - Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee:
Deep Private-Feature Extraction. 54-66 - Sutedi Sutedi, Noor Akhmad Setiawan, Teguh Bharata Adji:
Enhanced Graph Transforming V2 Algorithm for Non-Simple Graph in Big Data Pre-Processing. 67-77 - Fan Zhang, Conggai Li, Ying Zhang, Lu Qin, Wenjie Zhang:
Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems. 78-91 - Kaixing Dong, Bowen Zhang, Yanyan Shen, Yanmin Zhu, Jiadi Yu:
GAT: A Unified GPU-Accelerated Framework for Processing Batch Trajectory Queries. 92-107 - Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
Massively Distributed Time Series Indexing and Querying. 108-120 - Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. 121-134 - Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong:
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. 135-151 - Stijn Heldens, Nelly Litvak, Maarten van Steen:
Scalable Detection of Crowd Motion Patterns. 152-164 - Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming:
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. 165-176 - James S. Okolica, Gilbert L. Peterson, Robert F. Mills, Michael R. Grimaila:
Sequence Pattern Mining with Variables. 177-187 - Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao:
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. 188-202
Volume 32, Number 2, February 2020
- Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia:
An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. 203-217 - Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, Stephen J. Maybank:
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression. 218-233 - Amal Saadallah, Luís Moreira-Matias, Ricardo Teixeira Sousa, Jihed Khiari, Erik Jenelius, João Gama:
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. 234-245 - Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka:
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. 246-259 - Yongseok Son, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, Hyuck Han:
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems. 260-274 - Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang:
Enriching Data Imputation under Similarity Rule Constraints. 275-287 - Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. 288-301 - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. 302-316 - Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang:
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. 317-331 - Hai Jin, Changfu Lin, Hanhua Chen, Jiangchuan Liu:
QuickPoint: Efficiently Identifying Densest Sub-Graphs in Online Social Networks for Event Stream Dissemination. 332-346 - Boyi Hou, Qun Chen, Zhaoqiang Chen, Youcef Nafa, Zhanhuai Li:
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees. 347-359 - Ioanna Tsalouchidou, Francesco Bonchi, Gianmarco De Francisci Morales, Ricardo Baeza-Yates:
Scalable Dynamic Graph Summarization. 360-373 - Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang:
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method. 374-387 - Jinyoung Yeo, Haeju Park, Sanghoon Lee, Eric Wonhee Lee, Seung-won Hwang:
XINA: Explainable Instance Alignment Using Dominance Relationship. 388-401 - Dan Vilenchik:
Simple Statistics Are Sometime Too Simple: A Case Study in Social Media Data. 402-408
Volume 32, Number 3, March 2020
- Yong Zhang, Jiacheng Wu, Jin Wang, Chunxiao Xing:
A Transformation-Based Framework for KNN Set Similarity Search. 409-423 - Jaewook Byun, Sungpil Woo, Daeyoung Kim:
ChronoGraph: Enabling Temporal Graph Traversals for Efficient Information Diffusion Analysis over Time. 424-437 - Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. 438-452 - Dong Qin, Xiangmin Zhou, Lei Chen, Guangyan Huang, Yanchun Zhang:
Dynamic Connection-Based Social Group Recommendation. 453-467 - Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi:
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning. 468-478 - Sungwook Kim, Hyejin Shin, Chung Hun Baek, Soohyung Kim, Junbum Shin:
Learning New Words from Keystroke Data with Local Differential Privacy. 479-491 - Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou:
Personalized Video Recommendation Using Rich Contents from Videos. 492-505 - Chenzi Zhang, Shuguang Hu, Zhihao Gavin Tang, T.-H. Hubert Chan:
Re-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass. 506-518 - Peiquan Jin, Chengcheng Yang, Xiaoliang Wang, Lihua Yue, Dezhi Zhang:
SAL-Hashing: A Self-Adaptive Linear Hashing Index for SSDs. 519-532 - Zhuhe Fang, Chuliang Weng, Li Wang, Huiqi Hu, Aoying Zhou:
Scheduling Resources to Multiple Pipelines of One Query in a Main Memory Database Cluster. 533-546 - Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Juan Cao, Jintao Li, Tao Mei:
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters. 547-559 - Lei Han, Jian Yang, Weiliang Zhao, Quan Z. Sheng:
User Interface Derivation for Business Processes. 560-573 - Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Wenyu Zhang:
Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT. 574-587 - Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences. 588-601 - Xianying Liu, Qiang Zhu, Sakti Pramanik, C. Titus Brown, Gang Qian:
VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses. 602-616
Volume 32, Number 4, April 2020
- Lerong Ma, Dandan Song, Lejian Liao, Jingang Wang:
A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation. 617-630 - Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. 631-644 - Shuai Ma, Renjun Hu, Luoshu Wang, Xuelian Lin, Jinpeng Huai:
An Efficient Approach to Finding Dense Temporal Subgraphs. 645-658 - Huaqing Zhang, Jian Wang, Zhanquan Sun, Jacek M. Zurada, Nikhil R. Pal:
Feature Selection for Neural Networks Using Group Lasso Regularization. 659-673 - Yulu Du, Xiangwu Meng, Yujie Zhang, Pengtao Lv:
GERF: A Group Event Recommendation Framework Based on Learning-to-Rank. 674-687 - Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu:
Jointly Learning Topics in Sentence Embedding for Document Summarization. 688-699 - Libin Zheng, Lei Chen:
Multi-Campaign Oriented Spatial Crowdsourcing. 700-713 - Zheli Liu, Bo Li, Yanyu Huang, Jin Li, Yang Xiang, Witold Pedrycz:
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme. 714-727 - Qinghua Huang, Yongdong Chen, Longzhong Liu, Dacheng Tao, Xuelong Li:
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification. 728-738 - Min Chen:
Reducing Web Page Complexity to Facilitate Effective User Navigation. 739-753 - Hadrien Van Lierde, Tommy W. S. Chow, Guanrong Chen:
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks. 754-767 - Davood Rafiei, Fan Deng:
Similarity Join and Similarity Self-Join Size Estimation in a Streaming Environment. 768-781 - Mingjun Xiao, Kai Ma, An Liu, Hui Zhao, Zhixu Li, Kai Zheng, Xiaofang Zhou:
SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing. 782-796 - Xuelong Li, Mulin Chen, Qi Wang:
Adaptive Consistency Propagation Method for Graph Clustering. 797-802 - Bohan Zhang, Scott Sanner, Mohamed Reda Bouadjenek, Shagun Gupta:
Bayesian Networks for Data Integration in the Absence of Foreign Keys. 803-808 - Xuelong Li, Mulin Chen, Qi Wang:
Discrimination-Aware Projected Matrix Factorization. 809-814 - Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie:
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. 815-820 - Aref Majdara, Saeid Nooshabadi:
Nonparametric Density Estimation Using Copula Transform, Bayesian Sequential Partitioning, and Diffusion-Based Kernel Estimator. 821-826
Volume 32, Number 5, May 2020
- Shanshan Wan, Zhendong Niu:
A Hybrid E-Learning Recommendation Approach Based on Learners' Influence Propagation. 827-840 - Chi Yang, Xianghua Xu, Kotagiri Ramamohanarao, Jinjun Chen:
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud. 841-854 - Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. 855-867 - Yanchao Li, Yongli Wang, Dong-Jun Yu, Ning Ye, Peng Hu, Ruxin Zhao:
ASCENT: Active Supervision for Semi-Supervised Learning. 868-882 - Shounak Datta, Sayak Nag, Swagatam Das:
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. 883-897 - Valeria Fionda, Antonella Guzzo:
Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools. 898-911 - Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao:
Efficient Entity Resolution on Heterogeneous Records. 912-926 - Han van der Aa, Henrik Leopold, Hajo A. Reijers:
Efficient Process Conformance Checking on the Basis of Uncertain Event-to-Activity Mappings. 927-940 - Takuma Ebisu, Ryutaro Ichise:
Generalized Translation-Based Embedding of Knowledge Graph. 941-951 - Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. 952-970 - Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. 971-982 - Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan:
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks. 983-997 - Qin Hu, Shengling Wang, Peizi Ma, Xiuzhen Cheng, Weifeng Lv, Rongfang Bie:
Quality Control in Crowdsourcing Using Sequential Zero-Determinant Strategies. 998-1009 - Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy:
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. 1010-1023 - Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang:
Trust Relationship Prediction in Alibaba E-Commerce Platform. 1024-1035
Volume 32, Number 6, June 2020
- Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang:
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. 1036-1049 - Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. 1050-1063 - Andreas Ruscheinski, Tom Warnke, Adelinde M. Uhrmacher:
Artifact-Based Workflows for Supporting Simulation Studies. 1064-1078 - Yexin Li, Yu Zheng:
Citywide Bike Usage Prediction in a Bike-Sharing System. 1079-1091 - Wei Zhao, Ziyu Guan, Yuhui Huang, Tingting Xi, Huan Sun, Zhiheng Wang, Xiaofei He:
Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments. 1092-1103 - Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, Xin Yao:
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. 1104-1115 - Hao Wang, Yan Yang, Bing Liu:
GMC: Graph-Based Multi-View Clustering. 1116-1129 - Johannes De Smedt, Galina Deeva, Jochen De Weerdt:
Mining Behavioral Sequence Constraints for Classification. 1130-1142 - Teng Zhang, Zhi-Hua Zhou:
Optimal Margin Distribution Machine. 1143-1156 - Sangmin Lee, Seoung Bum Kim:
Parallel Simulated Annealing with a Greedy Algorithm for Bayesian Network Structure Learning. 1157-1166 - Feiping Nie, Shaojun Shi, Xuelong Li:
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph. 1167-1178 - Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang:
The Disruptions of 5G on Data-Driven Technologies and Applications. 1179-1198 - Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng Tao Shen:
Towards Automatic Construction of Diverse, High-Quality Image Datasets. 1199-1211 - Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. 1212-1226 - Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang:
ESPM: Efficient Spatial Pattern Matching. 1227-1233
Volume 32, Number 7, July 2020
- Sujoy Chatterjee, Anirban Mukhopadhyay, Malay Bhattacharyya:
A Review of Judgment Analysis Algorithms for Crowdsourced Opinions. 1234-1248 - Yong Chen, Junjie Wu, Jianying Lin, Rui Liu, Hui Zhang, Zhiwen Ye:
Affinity Regularized Non-Negative Matrix Factorization for Lifelong Topic Modeling. 1249-1262 - Hung T. Nguyen, Alberto Cano, Tam Vu, Thang N. Dinh:
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. 1263-1275 - Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. 1276-1289 - Yulu Du, Xiangwu Meng, Yujie Zhang:
CVTM: A Content-Venue-Aware Topic Model for Group Event Recommendation. 1290-1303 - Lei Fang, Juan Ye, Simon Dobson:
Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models. 1304-1316 - Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. 1317-1332 - Jianpeng Zhang, Yulong Pei, George Fletcher, Mykola Pechenizkiy:
Evaluation of the Sample Clustering Process on Graphs. 1333-1347 - Zhan Bu, Hui-Jia Li, Chengcui Zhang, Jie Cao, Aihua Li, Yong Shi:
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics. 1348-1361 - Jie Song, HongYan He, Richard Thomas, Yubin Bao, Ge Yu:
Haery: A Hadoop Based Query System on Accumulative and High-Dimensional Data Model for Big Data. 1362-1377 - Zhen Chen, Hanghang Tong, Lei Ying:
Inferring Full Diffusion History from Partial Timestamps. 1378-1392 - Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. 1393-1404 - Kaiqi Zhang, Hong Gao, Xixian Han, Zhipeng Cai, Jianzhong Li:
Modeling and Computing Probabilistic Skyline on Incomplete Data. 1405-1418 - Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li:
Multi-View Scaling Support Vector Machines for Classification and Feature Selection. 1419-1430 - Haoyang Zhu, Xiaoyong Li, Qiang Liu, Zichen Xu:
Top-k Dominating Queries on Skyline Groups. 1431-1444
Volume 32, Number 8, August 2020
- Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner:
Active Online Learning for Social Media Analysis to Support Crisis Management. 1445-1458 - Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng:
Answering Top-$k$ k Graph Similarity Queries in Graph Databases. 1459-1474 - Wen Li, Ying Zhang, Yifang Sun, Wei Wang, Mingjie Li, Wenjie Zhang, Xuemin Lin:
Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement. 1475-1488 - Joeri Rammelaere, Floris Geerts:
Cleaning Data with Forbidden Itemsets. 1489-1501 - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. 1502-1516 - Ye-Zheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He:
Generative Adversarial Active Learning for Unsupervised Outlier Detection. 1517-1528 - Tianfu He, Jie Bao, Sijie Ruan, Ruiyuan Li, Yanhua Li, Hui He, Yu Zheng:
Interactive Bike Lane Planning Using Sharing Bikes' Trajectories. 1529-1542 - Chien-Liang Liu, Po-Yen Hsieh:
Model-Based Synthetic Sampling for Imbalanced Data. 1543-1556 - Xiang Cheng, Peng Tang, Sen Su, Rui Chen, Zequn Wu, Binyuan Zhu:
Multi-Party High-Dimensional Data Publishing Under Differential Privacy. 1557-1571 - Xun Yi, Elisa Bertino, Fang-Yu Rao, Kwok-Yan Lam, Surya Nepal, Athman Bouguettaya:
Privacy-Preserving User Profile Matching in Social Networks. 1572-1585 - Tzu-Tsung Wong, Po-Yang Yeh:
Reliable Accuracy Estimates from k-Fold Cross Validation. 1586-1594 - Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu:
ROAM: A Fundamental Routing Query on Road Networks with Efficiency. 1595-1609 - Miao Xu, Yufeng Li, Zhi-Hua Zhou:
Robust Multi-Label Learning with PRO Loss. 1610-1624 - Eleanna Kafeza, Andreas Kanavos, Christos Makris, Georgios Pispirigos, Pantelis Vikatos:
T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data. 1625-1638 - Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum:
Translation-Based Sequential Recommendation for Complex Users on Sparse Data. 1639-1651 - Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. 1652-1665
Volume 32, Number 9, September 2020
- Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. 1666-1679 - Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin:
Adaptive Self-Paced Deep Clustering with Data Augmentation. 1680-1693 - Hyeong-Cheol Ryu, Sungwon Jung, Sakti Pramanik:
An Effective Clustering Method over CF$^+$+ Tree Using Multiple Range Queries. 1694-1706 - Nemanja Kojic, Dragan Milicev:
Equilibrium of Redundancy in Relational Model for Optimized Data Retrieval. 1707-1721 - Amir Ghasemian, Homa Hosseinmardi, Aaron Clauset:
Evaluating Overfit and Underfit in Models of Network Community Structure. 1722-1735 - Xin Liu, Hui-Min Cheng, Zhong-Yuan Zhang:
Evaluation of Community Detection Methods. 1736-1746 - Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang:
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. 1747-1760 - Hao Huang, Qian Yan, Wei Lu, Huaizhong Lin, Yunjun Gao, Lei Chen:
LERI: Local Exploration for Rare-Category Identification. 1761-1772 - Alon Bartal, Gilad Ravid:
Member Behavior in Dynamic Online Communities: Role Affiliation Frequency Model. 1773-1784 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Augmented Deep Generative Models for Forecasting the Next Shot Location in Tennis. 1785-1797 - Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. 1798-1811 - Giulio Ermanno Pibiri, Rossano Venturini:
On Optimally Partitioning Variable-Byte Codes. 1812-1823 - Li Liu, Xin Li, William K. Cheung, Lejian Liao:
Structural Representation Learning for User Alignment Across Social Networks. 1824-1837 - Imran Khan, Zongwei Luo, Joshua Zhexue Huang, Waseem Shahzad:
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters. 1838-1853
Volume 32, Number 10, October 2020
- Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. 1854-1867 - Huan Wang, Chunming Qiao:
A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks. 1868-1880 - Suppawong Tuarob, Sung Woo Kang, Poom Wettayakorn, Chanatip Pornprasit, Tanakitti Sachati, Saeed-Ul Hassan, Peter Haddawy:
Automatic Classification of Algorithm Citation Functions in Scientific Literature. 1881-1896 - Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao:
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. 1897-1908 - Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas:
Cross-Domain Sentiment Encoding through Stochastic Word Embedding. 1909-1922 - Liang Zhao, Feng Chen, Yanfang Ye:
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. 1923-1935 - Hao Lin, Guannan Liu, Junjie Wu, Yuan Zuo, Xin Wan, Hong Li:
Fraud Detection in Dynamic Interaction Network. 1936-1950 - Xiushan Nie, Weizhen Jing, Chaoran Cui, Chen Jason Zhang, Lei Zhu, Yilong Yin:
Joint Multi-View Hashing for Large-Scale Near-Duplicate Video Retrieval. 1951-1965 - Xike Xie, Kai Zou, Xingjun Hao, Torben Bach Pedersen, Peiquan Jin, Wei Yang:
OLAP over Probabilistic Data Cubes II: Parallel Materialization and Extended Aggregates. 1966-1981 - Natalia Arzamasova, Klemens Böhm, Bertrand Goldman, Christian Saaler, Martin Schäler:
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests. 1982-1999 - Antoine Cully, Yiannis Demiris:
Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering. 2000-2013 - Rong Wang, Feiping Nie, Zhen Wang, Haojie Hu, Xuelong Li:
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning. 2014-2025 - Lei Wang, Jianwei Niu, Shui Yu:
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis. 2026-2039 - Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
User Group Analytics Survey and Research Opportunities. 2040-2059
Volume 32, Number 11, November 2020
- Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
A Crowdsourcing Framework for Collecting Tabular Data. 2060-2074 - Francisco J. Valverde-Albacete, Carmen Peláez-Moreno:
A Framework for Supervised Classification Performance Analysis with Information-Theoretic Methods. 2075-2087 - Pasquale De Meo, Mark Levene, Fabrizio Messina, Alessandro Provetti:
A General Centrality Framework-Based on Node Navigability. 2088-2100 - Shuai Ding, Zijie Yue, Shanlin Yang, Feng Niu, Youtao Zhang:
A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks. 2101-2114 - Lun Hu, Keith C. C. Chan, Xiaohui Yuan, Shengwu Xiong:
A Variational Bayesian Framework for Cluster Analysis in a Complex Network. 2115-2128 - Soumajit Pramanik, Rajarshi Haldar, Anand Kumar, Sayan Pathak, Bivas Mitra:
Deep Learning Driven Venue Recommender for Event-Based Social Networks. 2129-2143 - Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang:
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. 2144-2158 - Lusi Li, Haibo He, Jie Li:
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems. 2159-2170 - Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang:
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval. 2171-2184 - Reza Rawassizadeh, Hamidreza Keshavarz, Michael J. Pazzani:
Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period. 2185-2197 - Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui:
On Nearby-Fit Spatial Keyword Queries. 2198-2212 - Shenggong Ji, Yu Zheng, Wenjun Wang, Tianrui Li:
Real-Time Ambulance Redeployment: A Data-Driven Approach. 2213-2226 - Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou:
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. 2227-2240 - Marc Bury, Chris Schwiegelshohn, Mara Sorella:
Similarity Search for Dynamic Data Streams. 2241-2253 - Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma:
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. 2254-2268 - Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong:
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization. 2269-2283
Volume 32, Number 12, December 2020
- Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang:
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach. 2284-2296 - Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. 2297-2309 - Shangfei Wang, Guozhu Peng, Zhuangqiang Zheng:
Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning. 2310-2321 - Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li, Zhikang Xu:
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model. 2322-2335 - Yan Zhao, Kai Zheng, Yang Li, Han Su, Jiajun Liu, Xiaofang Zhou:
Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach. 2336-2350 - M. Thangavel, P. Varalakshmi:
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage. 2351-2362 - Ikkyun Song, Yicheng Yang, Jongho Im, Tong Tong, Halil Ceylan, In Ho Cho:
Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data. 2363-2373 - Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu:
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. 2374-2388 - Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Multiview Semi-Supervised Learning Model for Image Classification. 2389-2400 - Xijiong Xie, Shiliang Sun:
Multi-View Support Vector Machines with the Consensus and Complementarity Information. 2401-2413 - Linchuan Xu, Jiannong Cao, Xiaokai Wei, Philip S. Yu:
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization. 2414-2425 - Xiaoqian Zhang, Beijia Chen, Huaijiang Sun, Zhigui Liu, Zhenwen Ren, Yanmeng Li:
Robust Low-Rank Kernel Subspace Clustering based on the Schatten p-norm and Correntropy. 2426-2437 - Mohammadreza Najafi, Mohammad Sadoghi, Hans-Arno Jacobsen:
Scalable Multiway Stream Joins in Hardware. 2438-2452 - Wei Song, Hans-Arno Jacobsen, Fangfei Chen:
Scientific Workflow Protocol Discovery from Public Event Logs in Clouds. 2453-2466 - Yang Xu, Bin Yao, Zhi-Jie Wang, Xiaofeng Gao, Jiong Xie, Minyi Guo:
Skia: Scalable and Efficient In-Memory Analytics for Big Spatial-Textual Data. 2467-2480 - Daniele Miorandi, Alessandra Rizzardi, Sabrina Sicari, Alberto Coen-Porisini:
Sticky Policies: A Survey. 2481-2499 - Shan Jiang, Hsinchun Chen:
Corrections to "NATERGM: A Model for Examining the Role of Nodal Attributes in Dynamic Social Media Networks". 2500
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-07 23:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
