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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 11
Volume 11, Number 1, August 2016
- Zhiwen Yu
, Miao Tian, Zhu Wang, Bin Guo, Tao Mei:
Shop-Type Recommendation Leveraging the Data from Social Media and Location-Based Services. 1:1-1:21 - Luke K. McDowell, David W. Aha:
Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks. 2:1-2:37 - Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang:
Convex Sparse PCA for Unsupervised Feature Learning. 3:1-3:16 - Ou Wu, Qiang You, Fen Xia, Lei Ma, Weiming Hu:
Listwise Learning to Rank from Crowds. 4:1-4:39 - Junming Shao, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, Stefan Kramer:
Scalable Clustering by Iterative Partitioning and Point Attractor Representation. 5:1-5:23 - Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme:
Latent Time-Series Motifs. 6:1-6:20 - Xianchao Zhang, Linlin Zong, Quanzeng You, Xing Yong:
Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis. 7:1-7:25 - Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao:
Fast Sampling for Time-Varying Determinantal Point Processes. 8:1-8:24 - Pierluigi Crescenzi, Gianlorenzo D'Angelo, Lorenzo Severini, Yllka Velaj:
Greedily Improving Our Own Closeness Centrality in a Network. 9:1-9:32 - Xiang Li, Charles X. Ling, Huaimin Wang:
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. 10:1-10:24 - Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou:
Modeling of Geographic Dependencies for Real Estate Ranking. 11:1-11:27
Volume 11, Number 2, December 2016
- Zekai J. Gao, Chris Jermaine:
Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices. 12:1-12:25 - Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. 13:1-13:36 - Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. 14:1-14:34 - Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus:
Partitioning Networks with Node Attributes by Compressing Information Flow. 15:1-15:26 - Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. 16:1-16:39 - Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester:
Structural Analysis of User Choices for Mobile App Recommendation. 17:1-17:23 - Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment Problems of Different-Sized Inputs in MapReduce. 18:1-18:35 - Zhongyuan Wang, Fang Wang, Haixun Wang, Zhirui Hu, Jun Yan, Fangtao Li, Ji-Rong Wen, Zhoujun Li:
Unsupervised Head-Modifier Detection in Search Queries. 19:1-19:28 - Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Lifecycle Modeling for Buzz Temporal Pattern Discovery. 20:1-20:24 - Qiang Wei, Dandan Qiao, Jin Zhang, Guoqing Chen, Xunhua Guo:
A Novel Bipartite Graph Based Competitiveness Degree Analysis from Query Logs. 21:1-21:25 - Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales:
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. 22:1-22:26 - Carlos M. Lorenzetti, Ana Gabriela Maguitman, David Leake, Filippo Menczer, Thomas Reichherzer:
Mining for Topics to Suggest Knowledge Model Extensions. 23:1-23:30 - Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. 24:1-24:40 - Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, Xiaofang Zhou:
Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks. 25:1-25:28
Volume 11, Number 3, April 2017
- Ahmet Erdem Sariyüce, Kamer Kaya, Erik Saule, Ümit V. Çatalyürek:
Graph Manipulations for Fast Centrality Computation. 26:1-26:25 - Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis:
Finding Dynamic Dense Subgraphs. 27:1-27:30 - Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen:
Modeling Buying Motives for Personalized Product Bundle Recommendation. 28:1-28:26 - Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang:
Combining Structured Node Content and Topology Information for Networked Graph Clustering. 29:1-29:29 - Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
An Influence Propagation View of PageRank. 30:1-30:30 - Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long:
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. 31:1-31:21 - Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe:
Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. 32:1-32:30 - Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng:
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. 33:1-33:30 - Xun Tang, Maha Alabduljalil, Xin Jin, Tao Yang:
Partitioned Similarity Search with Cache-Conscious Data Traversal. 34:1-34:38 - Shanshan Feng, Jian Cao, Jie Wang, Shiyou Qian:
Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content. 35:1-35:27 - Xutong Liu, Feng Chen, Yen-Cheng Lu, Chang-Tien Lu:
Spatial Prediction for Multivariate Non-Gaussian Data. 36:1-36:27 - Liang Wang, Zhiwen Yu, Bin Guo, Tao Ku, Fei Yi:
Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach. 37:1-37:33 - Kimon Fountoulakis, Abhisek Kundu, Eugenia-Maria Kontopoulou, Petros Drineas:
A Randomized Rounding Algorithm for Sparse PCA. 38:1-38:26
Volume 11, Number 4, August 2017
- Charu C. Aggarwal:
Introduction to Special Issue on the Best Papers from KDD 2016. 39:1-39:3 - Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang:
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. 40:1-40:28 - Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang:
comeNgo: A Dynamic Model for Social Group Evolution. 41:1-41:22 - Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. 42:1-42:26 - Lorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal:
TRIÈST: Counting Local and Global Triangles in Fully Dynamic Streams with Fixed Memory Size. 43:1-43:50 - Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos:
Graph-Based Fraud Detection in the Face of Camouflage. 44:1-44:26 - Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan:
Assessing Human Error Against a Benchmark of Perfection. 45:1-45:25
- Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng:
Discovering Conditional Matching Rules. 46:1-46:38 - Christos Anagnostopoulos, Peter Triantafillou:
Query-Driven Learning for Predictive Analytics of Data Subspace Cardinality. 47:1-47:46 - Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai Yu:
Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data. 48:1-48:22 - Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media. 49:1-49:23 - Soroush Vosoughi, Mostafa 'Neo' Mohsenvand, Deb Roy:
Rumor Gauge: Predicting the Veracity of Rumors on Twitter. 50:1-50:36 - Oualid Boutemine, Mohamed Bouguessa:
Mining Community Structures in Multidimensional Networks. 51:1-51:36 - Essam Algizawy, Tetsuji Ogawa, Ahmed El-Mahdy:
Real-Time Large-Scale Map Matching Using Mobile Phone Data. 52:1-52:38
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