Table of Contents

• Discovering Local Subgroups, with an Application to Fraud DetectionRob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe. 1-12 [doi]
• PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain DataCarson Kai-Sang Leung, Syed Khairuzzaman Tanbeer. 13-25 [doi]
• Frequent Pattern Mining in Attributed TreesClaude Pasquier, Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher. 26-37 [doi]
• Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic GraphsAnna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao. 38-49 [doi]
• ClaSP: An Efficient Algorithm for Mining Frequent Closed SequencesAntonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals. 50-61 [doi]
• Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life DataJinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu. 62-73 [doi]
• Online Cross-Lingual PLSI for Evolutionary Theme Patterns AnalysisXin Xin, Kun Zhuang, Ying Fang, Heyan Huang. 74-85 [doi]
• F-Trail: Finding Patterns in Taxi TrajectoriesYasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos. 86-98 [doi]
• Mining Appliance Usage Patterns in Smart Home EnvironmentYi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, Wang-Chien Lee. 99-110 [doi]
• Computational Models of Stress in Reading Using Physiological and Physical Sensor DataNandita Sharma, Tom Gedeon. 111-122 [doi]
• Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann MachineTu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh. 123-135 [doi]
• MassBayes: A New Generative Classifier with Multi-dimensional Likelihood EstimationSunil Aryal, Kai Ming Ting. 136-148 [doi]
• Fast and Effective Single Pass Bayesian LearningNayyar A. Zaidi, Geoffrey I. Webb. 149-160 [doi]
• Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale DataRaghvendra Mall, Johan A. K. Suykens. 161-173 [doi]
• k-Nearest Neighbor GraphFeng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma. 174-186 [doi]
• Spectral Decomposition for Optimal Graph Index PredictionLiyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He. 187-200 [doi]
• Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG ModelDanai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos. 201-212 [doi]
• Node Classification in Social Network via a Factor Graph ModelHuan Xu, Yujiu Yang, Liangwei Wang, Wenhuang Liu. 213-224 [doi]
• Fast Graph Stream Classification Using Discriminative Clique HashingLianhua Chi, Bin Li, Xingquan Zhu. 225-236 [doi]
• Mining Interesting Itemsets in Graph DatasetsBoris Cule, Bart Goethals, Tayena Hendrickx. 237-248 [doi]
• Robust Synchronization-Based Graph ClusteringJunming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm. 249-260 [doi]
• Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature VectorsStephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl. 261-275 [doi]
• Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression DetectionYu-Chun Shen, Tsung-Ting Kuo, I.-Ning Yeh, Tzu-Ting Chen, Shou-de Lin. 276-288 [doi]
• EEG-Based Person Verification Using Multi-Sphere SVDD and UBMPhuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma. 289-300 [doi]
• Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture CopulaQian Zhang, Junping Zhang, Chenghai Xue. 301-313 [doi]
• Mining Representative Movement Patterns through CompressionPhan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. 314-326 [doi]
• NARGES: Prediction Model for Informed Routing in a Communications NetworkHooman Homayounfard, Paul J. Kennedy, Robin Braun. 327-338 [doi]
• Mining Usage Traces of Mobile Apps for Dynamic Preference PredictionZhung-Xun Liao, Wen-Chih Peng, Philip S. Yu. 339-353 [doi]
• Leveraging Hybrid Citation Context for Impact SummarizationPo Hu, Yujing Guo, Dong-Hong Ji, Jiacong He. 354-365 [doi]
• Optimal Allocation of High Dimensional Assets through Canonical VinesWei Wei, Jinyan Li, Longbing Cao, Jingguang Sun, Chunming Liu, Mu Li. 366-377 [doi]
• Inducing Context Gazetteers from Encyclopedic Databases for Named Entity RecognitionHan-Cheol Cho, Naoaki Okazaki, Kentaro Inui. 378-389 [doi]
• An Optimization Method for Proportionally Diversifying Search ResultsLin Wu, Yang Wang, John Shepherd, Xiang Zhao. 390-401 [doi]
• Joint Naïve Bayes and LDA for Unsupervised Sentiment AnalysisYong Zhang, Dong-Hong Ji, Ying Su, Hongmiao Wu. 402-413 [doi]
• An Unsupervised Learning Model to Perform Side Channel AttackJung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-de Lin. 414-425 [doi]
• Decisive Supervised LearningEileen A. Ni, Da Kuang, Charles X. Ling. 426-437 [doi]
• Learning Overlap Optimization for Domain Decomposition MethodsSteven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein. 438-449 [doi]
• kNN RegressionHarshit Dubey, Vikram Pudi. 450-458 [doi]
• AREM: A Novel Associative Regression Model Based on EM AlgorithmZhonghua Jiang, George Karypis. 459-470 [doi]
• One-Class Transfer Learning with Uncertain DataBo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao. 471-483 [doi]
• Time Series Forecasting Using Distribution Enhanced Linear RegressionGoce Ristanoski, Wei Liu, James Bailey. 484-495 [doi]
• Twin Bridge Transfer Learning for Sparse Collaborative FilteringJiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang 0001. 496-507 [doi]
• Dimensionality Reduction with Dimension SelectionYi Guo, Junbin Gao, Feng Li. 508-519 [doi]
• Multi-View Visual Classification via a Mixed-Norm RegularizerXiaofeng Zhu, Zi Huang, Xindong Wu. 520-531 [doi]
• Mining Specific Features for Acquiring User Information NeedsAbdulmohsen Algarni, Yuefeng Li. 532-543 [doi]
• Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance LearningPengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya. 544-555 [doi]
• Exploring Groups from Heterogeneous Data via Sparse LearningHuawen Liu, Jiuyong Li, Lin Liu 0001, Jixue Liu, Ivan Lee, Jianmin Zhao. 556-567 [doi]
• Multiplex Topic ModelsJuan Yang, Jia Zeng, William K. Cheung. 568-582 [doi]
• Integrating Clustering and Ranking on Hybrid Heterogeneous Information NetworkRan Wang, Chuan Shi, Philip S. Yu, Bin Wu. 583-594 [doi]
• Learning from Multiple Observers with Unknown ExpertiseHan Xiao, Huang Xiao, Claudia Eckert. 595-606 [doi]