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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 15
Volume 15, Number 1, January 2021
- Hao Wang, Shuai Ding, Yeqing Li, Xiaojian Li, Youtao Zhang:
Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization. 1:1-1:17 - Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. 2:1-2:44 - Yu Huang
, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng:
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. 3:1-3:32 - Michael J. Siers, Md Zahidul Islam:
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity. 4:1-4:31 - Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. 5:1-5:27 - Yue Hu, Daniel B. Work:
Robust Tensor Recovery with Fiber Outliers for Traffic Events. 6:1-6:27 - Xiaoyan Zhu, Yingbin Li, Jiayin Wang, Tian Zheng, Jingwen Fu:
Automatic Recommendation of a Distance Measure for Clustering Algorithms. 7:1-7:22 - Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone, Michelle Sweering:
Combinatorial Algorithms for String Sanitization. 8:1-8:34 - Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. 9:1-9:43 - Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang:
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. 10:1-10:23 - Guangxu Xun, Kishlay Jha, Aidong Zhang:
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. 11:1-11:14 - Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. 12:1-12:24 - Ricardo de Azevedo Brandão, Gabriel Resende Machado, Ronaldo Ribeiro Goldschmidt, Ricardo Choren:
A Reduced Network Traffic Method for IoT Data Clustering. 13:1-13:23
Volume 15, Number 2, April 2021
Survey Paper
- Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, Paolo Merialdo:
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. 14:1-14:49
- Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income. 15:1-15:30 - Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo, Vincent Ng:
Recommending Statutes: A Portable Method Based on Neural Networks. 16:1-16:22 - Yashen Wang, Huanhuan Zhang:
HARP: A Novel Hierarchical Attention Model for Relation Prediction. 17:1-17:22 - Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. 18:1-18:26 - Chongshou Li, Brenda Cheang, Zhixing Luo, Andrew Lim:
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting. 19:1-19:32 - Youcef Djenouri, Djamel Djenouri, Jerry Chun-Wei Lin:
Trajectory Outlier Detection: New Problems and Solutions for Smart Cities. 20:1-20:28 - Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. 21:1-21:21 - Radim Belohlávek, Martin Trnecka:
The 8M Algorithm from Today's Perspective. 22:1-22:22 - En Xu, Zhiwen Yu, Bin Guo, Helei Cui:
Core Interest Network for Click-Through Rate Prediction. 23:1-23:16 - Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader:
Context-Based Evaluation of Dimensionality Reduction Algorithms - Experiments and Statistical Significance Analysis. 24:1-24:40 - Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic:
Heterogeneous Network Approach to Predict Individuals' Mental Health. 25:1-25:26 - Zhengze Zhou, Giles Hooker:
Unbiased Measurement of Feature Importance in Tree-Based Methods. 26:1-26:21 - Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen:
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. 27:1-27:18 - Mario Andrés Muñoz, Tao Yan, Matheus R. Leal, Kate Smith-Miles, Ana Carolina Lorena, Gisele L. Pappa, Rômulo Madureira Rodrigues:
An Instance Space Analysis of Regression Problems. 28:1-28:25 - Michele Coscia:
Noise Corrected Sampling of Online Social Networks. 29:1-29:21 - Georg Steinbuss, Klemens Böhm:
Generating Artificial Outliers in the Absence of Genuine Ones - A Survey. 30:1-30:37 - Yi Zhu, Lei Li, Xindong Wu:
Stacked Convolutional Sparse Auto-Encoders for Representation Learning. 31:1-31:21 - Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin:
Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition. 32:1-32:23 - Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. 33:1-33:23
Volume 15, Number 3, April 2021
- Shi Ying, Bingming Wang, Lu Wang, Qingshan Li, Yishi Zhao, Jianga Shang, Hao Huang, Guoli Cheng, Zhe Yang, Jiangyi Geng:
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples. 34:1-34:22 - Andrea De Salve, Paolo Mori, Barbara Guidi, Laura Ricci, Roberto Di Pietro:
Predicting Influential Users in Online Social Network Groups. 35:1-35:50 - Hong Xie, Mingze Zhong, Yongkun Li, John C. S. Lui:
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference. 36:1-36:29 - Zheng Zhang, Xiaofeng Zhu, Guangming Lu, Yudong Zhang:
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval. 37:1-37:22 - Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. 38:1-38:30 - Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. 39:1-39:18 - Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. 40:1-40:19 - Luyi Bai, Xiangnan Ma, Mingcheng Zhang, Wenting Yu:
TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion. 41:1-41:17 - Jingjing Wang, Wenjun Jiang, Kenli Li, Keqin Li:
Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks. 42:1-42:33 - Guanhao Wu, Xiaofeng Gao, Ge Yan, Guihai Chen:
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network. 43:1-43:21 - Lei Yang, Xi Yu, Jiannong Cao, Xuxun Liu, Pan Zhou:
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services. 44:1-44:23 - Lin Cheng, Yuliang Shi, Kun Zhang, Xinjun Wang, Zhiyong Chen:
GGATB-LSTM: Grouping and Global Attention-based Time-aware Bidirectional LSTM Medical Treatment Behavior Prediction. 45:1-45:16 - Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo:
A Scalable Redefined Stochastic Blockmodel. 46:1-46:28 - Yan Liu, Bin Guo, Daqing Zhang, Djamal Zeghlache, Jingmin Chen, Ke Hu, Sizhe Zhang, Dan Zhou, Zhiwen Yu:
Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation. 47:1-47:27 - Muhammad Anis Uddin Nasir, Çigdem Aslay, Gianmarco De Francisci Morales, Matteo Riondato:
TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs. 48:1-48:35 - Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, Zhenhua Huang:
Preserve Integrity in Realtime Event Summarization. 49:1-49:29 - Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers:
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. 50:1-50:21 - Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang:
Efficient and High-Quality Seeded Graph Matching: Employing Higher-order Structural Information. 51:1-51:31 - Nils Barlaug, Jon Atle Gulla:
Neural Networks for Entity Matching: A Survey. 52:1-52:37 - Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Fast Connectivity Minimization on Large-Scale Networks. 53:1-53:25
Volume 15, Number 4, June 2021
- Yunzhe Wang, George Baciu, Chenhui Li:
A Layout-Based Classification Method for Visualizing Time-Varying Graphs. 54:1-54:24 - Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu:
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. 55:1-55:21 - Fadi Dornaika:
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification. 56:1-56:11 - Yanni Li, Bing Liu, Yongbo Yu, Hui Li, Jiacan Sun, Jiangtao Cui:
3E-LDA: Three Enhancements to Linear Discriminant Analysis. 57:1-57:20 - Tianzi Zang, Yanmin Zhu, Yanan Xu, Jiadi Yu:
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction. 58:1-58:20 - Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Online Sampling of Temporal Networks. 59:1-59:27 - Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee:
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. 60:1-60:32 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. 61:1-61:27 - Guojie Song, Yun Wang, Lun Du, Yi Li, Junshan Wang:
Network Embedding on Hierarchical Community Structure Network. 62:1-62:23 - Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. 63:1-63:46 - Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin:
Robust Image Representation via Low Rank Locality Preserving Projection. 64:1-64:22 - Georg Steinbuss, Klemens Böhm:
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. 65:1-65:20 - Mingkai Lin, Wenzhong Li, Lynda J. Song, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu:
SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks. 66:1-66:21 - Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. 67:1-67:30 - Peike Xia, Wenjun Jiang, Jie Wu, Surong Xiao, Guojun Wang:
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level. 68:1-68:29 - Suhansanu Kumar, Hari Sundaram:
Attribute-Guided Network Sampling Mechanisms. 69:1-69:24 - Negin Ghasemi, Ramin Fatourechi, Saeedeh Momtazi:
User Embedding for Expert Finding in Community Question Answering. 70:1-70:16 - Ruidong Yan, Yi Li, Deying Li, Yongcai Wang, Yuqing Zhu, Weili Wu:
A Stochastic Algorithm Based on Reverse Sampling Technique to Fight Against the Cyberbullying. 71:1-71:22 - Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-Meso Structure. 72:1-72:26 - Benhui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma:
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. 73:1-73:25
Volume 15, Number 5, June 2021
- Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. 74:1-74:46 - Wissam Al Jurdi, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul:
Critique on Natural Noise in Recommender Systems. 75:1-75:30
- Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam:
Density Guarantee on Finding Multiple Subgraphs and Subtensors. 76:1-76:32 - Paul Burkhardt:
Optimal Algebraic Breadth-First Search for Sparse Graphs. 77:1-77:19 - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Graph Neural Networks for Fast Node Ranking Approximation. 78:1-78:32 - Lorenzo De Stefani, Erisa Terolli, Eli Upfal:
Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams. 79:1-79:52 - Josef Bauer, Dietmar Jannach:
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models. 80:1-80:37 - Seyed-Vahid Sanei-Mehri, Apurba Das, Hooman Hashemi, Srikanta Tirthapura:
Mining Largest Maximal Quasi-Cliques. 81:1-81:21 - Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. 82:1-82:24 - Shaoyang Hao, Bin Guo, Hao Wang, Yunji Liang, Lina Yao, Qianru Wang, Zhiwen Yu:
DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. 83:1-83:16 - Jianxiong Guo, Weili Wu:
Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed. 84:1-84:23 - Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu:
Dual-Embedding based Deep Latent Factor Models for Recommendation. 85:1-85:24 - Shalini Sharma, Angshul Majumdar:
Sequential Transform Learning. 86:1-86:18 - Kai Liu, Hongbo Liu, Tomas E. Ward, Hua Wang, Yu Yang, Bo Zhang, Xindong Wu:
Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models. 87:1-87:26 - Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji:
Deep Graph Matching and Searching for Semantic Code Retrieval. 88:1-88:21 - Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. 89:1-89:33 - Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao:
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. 90:1-90:20 - Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang:
Anomaly Detection With Kernel Preserving Embedding. 91:1-91:18
- Bo Liu, Xi He, Mingdong Song, Jianqiang Li, Guangzhi Qu, Jianlei Lang, Rentao Gu:
A Method for Mining Granger Causality Relationship on Atmospheric Visibility. 92:1-92:16
Volume 15, Number 6, July 2021
- Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, Jimson Mathew:
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset. 93:1-93:24 - Federico Coro, Gianlorenzo D'Angelo, Yllka Velaj:
Link Recommendation for Social Influence Maximization. 94:1-94:23 - Xiaofeng Gao, Wenyi Xu, Mingding Liao, Guihai Chen:
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity. 95:1-95:30 - Marco Bressan, Stefano Leucci, Alessandro Panconesi:
Faster Motif Counting via Succinct Color Coding and Adaptive Sampling. 96:1-96:27 - Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang:
Fast and Robust Dictionary-based Classification for Image Data. 97:1-97:22 - Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang:
Similarity Embedding Networks for Robust Human Activity Recognition. 98:1-98:17 - Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. 99:1-99:25 - Mikel Joaristi, Edoardo Serra:
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. 100:1-100:39 - Man Wu, Shirui Pan, Lan Du, Xingquan Zhu:
Learning Graph Neural Networks with Positive and Unlabeled Nodes. 101:1-101:25 - Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang:
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. 102:1-102:20 - Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang:
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. 103:1-103:25 - Yashen Wang, Huanhuan Zhang, Zhirun Liu, Qiang Zhou:
Hierarchical Concept-Driven Language Model. 104:1-104:22 - Julián Alarte, Josep Silva:
Page-Level Main Content Extraction From Heterogeneous Webpages. 105:1-105:105 - Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling. 106:1-106:28 - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor-Based Learning Model for Structural Damage Detection. 107:1-107:18 - Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, John C. S. Lui:
On Modeling Influence Maximization in Social Activity Networks under General Settings. 108:1-108:28 - Zhe Chen, Aixin Sun, Xiaokui Xiao:
Incremental Community Detection on Large Complex Attributed Network. 109:1-109:20 - Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. 110:1-110:21 - Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang:
Factor-Bounded Nonnegative Matrix Factorization. 111:1-111:18 - Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. 112:1-112:21
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