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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 14
Volume 14, Number 1, February 2020
- Md. Kamrul Hasan, Christopher J. Pal:
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation. 1:1-1:28 - Sayantan Mitra
, Mohammed Hasanuzzaman, Sriparna Saha:
A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model. 2:1-2:31 - Li Ni, Wenjian Luo, Wenjie Zhu, Bei Hua:
Local Overlapping Community Detection. 3:1-3:25 - Fabrizio Angiulli:
CFOF: A Concentration Free Measure for Anomaly Detection. 4:1-4:53 - Shaikh Arifuzzaman, Maleq Khan, Madhav V. Marathe:
Fast Parallel Algorithms for Counting and Listing Triangles in Big Graphs. 5:1-5:34 - Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang:
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. 6:1-6:25 - Zohaib Md. Jan, Brijesh K. Verma:
Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification. 7:1-7:18 - Paulo Orlando Queiroz-Sousa, Ana Carolina Salgado:
A Review on OLAP Technologies Applied to Information Networks. 8:1-8:25 - Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Adaptive Local Linear Discriminant Analysis. 9:1-9:19 - Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo:
Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach. 10:1-10:27 - Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. 11:1-11:40
Volume 14, Number 2, March 2020
- Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. 12:1-12:39 - Huimei Han, Xingquan Zhu, Ying Li:
Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data. 13:1-13:28 - Chi-Chun Lin, Kun-Ta Chuang, Wush Chi-Hsuan Wu, Ming-Syan Chen:
Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better. 14:1-14:27 - Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye:
Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization. 15:1-15:23 - Bo Lin, Wei Luo, Zhiling Luo, Bo Wang, Shuiguang Deng, Jianwei Yin, Mengchu Zhou:
Bradykinesia Recognition in Parkinson's Disease via Single RGB Video. 16:1-16:19 - Shuai Liu, Guojie Song, Wenhao Huang:
Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning. 17:1-17:20 - Chenglong Dai, Dechang Pi, Stefanie I. Becker, Jia Wu, Lin Cui, Blake W. Johnson:
CenEEGs: Valid EEG Selection for Classification. 18:1-18:25 - Jialin Dong, Kai Yang, Yuanming Shi:
Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization. 19:1-19:26 - Yanan Xu, Yanyan Shen, Yanmin Zhu, Jiadi Yu:
AR2Net: An Attentive Neural Approach for Business Location Selection with Satellite Data and Urban Data. 20:1-20:28 - Francesco Concas, Pengfei Xu, Mohammad Ashraful Hoque, Jiaheng Lu, Sasu Tarkoma:
Multiple Set Matching with Bloom Matrix and Bloom Vector. 21:1-21:21 - Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Community Detection by Motif-Aware Label Propagation. 22:1-22:19 - Yuan Guo, Yu Sun, Kai Wu, Kerong Jiang:
New Algorithms of Feature Selection and Big Data Assignment for CBR System Integrated by Bayesian Network. 23:1-23:20 - Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. 24:1-24:27
Volume 14, Number 3, May 2020
- Kwang Hee Lee, Myoung-Ho Kim:
Linearization of Dependency and Sampling for Participation-based Betweenness Centrality in Very Large B-hypergraphs. 25:1-25:41 - Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo:
MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. 26:1-26:22 - Lei Tang, Zihang Liu, Yaling Zhao, Zongtao Duan, Jingchi Jia:
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding. 27:1-27:24 - Beyza Ermis, A. Taylan Cemgil:
Data Sharing via Differentially Private Coupled Matrix Factorization. 28:1-28:27 - Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He:
Continuous Influence Maximization. 29:1-29:38 - Alireza Ostovar, Sander J. J. Leemans, Marcello La Rosa:
Robust Drift Characterization from Event Streams of Business Processes. 30:1-30:57 - Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu:
Story Forest: Extracting Events and Telling Stories from Breaking News. 31:1-31:28 - Md. Shad Akhtar, Dushyant Singh Chauhan, Asif Ekbal:
A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. 32:1-32:27 - M. M. Abd-Elaziz, Hazem M. El-Bakry, Ahmed Abou Elfetouh, Amira Elzeiny:
Enhanced Data Mining Technique to Measure Satisfaction Degree of Social Media Users of Xeljanz Drug. 33:1-33:13 - Tuomo Alasalmi, Jaakko Suutala, Juha Röning, Heli Koskimäki:
Better Classifier Calibration for Small Datasets. 34:1-34:19 - Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Following Strategies from Time Series of Movement Data. 35:1-35:22 - Heli Sun, Fang He, Jianbin Huang, Yizhou Sun, Yang Li, Chenyu Wang, Liang He, Zhongbin Sun, Xiaolin Jia:
Network Embedding for Community Detection in Attributed Networks. 36:1-36:25 - Theodoros Lappas:
Mining Career Paths from Large Resume Databases: Evidence from IT Professionals. 37:1-37:38
Volume 14, Number 4, July 2020
- Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. 38:1-38:26 - Bintao Sun, T.-H. Hubert Chan, Mauro Sozio:
Fully Dynamic Approximate k-Core Decomposition in Hypergraphs. 39:1-39:21 - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. 40:1-40:28 - Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. 41:1-41:19 - Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng:
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. 42:1-42:23 - Tianyu Zhu, Guannan Liu, Guoqing Chen:
Social Collaborative Mutual Learning for Item Recommendation. 43:1-43:19 - Anthony C. Constantinou:
Learning Bayesian Networks with the Saiyan Algorithm. 44:1-44:21 - Changping Wang, Chaokun Wang, Zheng Wang, Xiaojun Ye, Philip S. Yu:
Edge2vec: Edge-based Social Network Embedding. 45:1-45:24 - Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang:
Sparse Graph Connectivity for Image Segmentation. 46:1-46:19 - Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek:
Internal Evaluation of Unsupervised Outlier Detection. 47:1-47:42 - Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang:
Self-weighted Multi-view Fuzzy Clustering. 48:1-48:17 - Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Discovering Anomalies by Incorporating Feedback from an Expert. 49:1-49:32 - Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong:
Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. 50:1-50:25
Volume 14, Number 5, August 2020
Special Issue on KDD 2018
- Hui Xiong, Chih-Jen Lin:
Introduction to the Special Issue on the Best Papers from KDD 2018. 51e:1-51e:2 - Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng:
Towards an Optimal Outdoor Advertising Placement: When a Budget Constraint Meets Moving Trajectories. 51:1-51:32 - Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation for Route Optimization. 52:1-52:28 - Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Learning Distance Metrics from Probabilistic Information. 53:1-53:33 - Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen:
Pop Music Generation: From Melody to Multi-style Arrangement. 54:1-54:31 - Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. 55:1-55:24 - Matteo Riondato, Fabio Vandin:
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension. 56:1-56:31 - Daniel Zügner, Oliver Borchert, Amir Akbarnejad, Stephan Günnemann:
Adversarial Attacks on Graph Neural Networks: Perturbations and their Patterns. 57:1-57:31
- Xu Zhou, Kenli Li, ZhiBang Yang, Yunjun Gao, Keqin Li:
Efficient Approaches to k Representative G-Skyline Queries. 58:1-58:27 - Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi:
A Unified Framework for Sparse Online Learning. 59:1-59:20 - Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints. 60:1-60:27 - Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
End-to-End Continual Rare-Class Recognition with Emerging Novel Subclasses. 61:1-61:28 - Tingting Wang, Lei Duan, Guozhu Dong, Zhifeng Bao:
Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data. 62:1-62:26
- Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. 63:1-63:37
Volume 14, Number 6, October 2020
- Athanasios N. Nikolakopoulos, George Karypis:
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. 64:1-64:26 - Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao, Jiangang Lu:
NGUARD+: An Attention-based Game Bot Detection Framework via Player Behavior Sequences. 65:1-65:24 - Jianxiong Guo, Weili Wu:
Influence Maximization: Seeding Based on Community Structure. 66:1-66:22 - Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong:
Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation. 67:1-67:18 - Guansong Pang, Longbing Cao:
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. 68:1-68:27 - Nuha Zamzami, Nizar Bouguila:
Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior. 69:1-69:35 - Ramesh Paudel, William Eberle:
An Approach For Concept Drift Detection in a Graph Stream Using Discriminative Subgraphs. 70:1-70:25 - Wathsala Anupama Mohotti, Richi Nayak:
Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking. 71:1-71:30 - Chen Zhang, Steven C. H. Hoi, Fugee Tsung:
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis. 72:1-72:23 - Michael Matheny, Dong Xie, Jeff M. Phillips:
Scalable Spatial Scan Statistics for Trajectories. 73:1-73:24 - Shuangyin Li, Yu Zhang, Rong Pan:
Bi-Directional Recurrent Attentional Topic Model. 74:1-74:30 - Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. 75:1-75:20 - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou, Kostas Kolomvatsos:
Large-scale Data Exploration Using Explanatory Regression Functions. 76:1-76:33 - Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu:
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation. 77:1-77:38
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