Table of Contents

• Spectral Analysis of ::::k::::-Balanced Signed GraphsLeting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou. 1-12 [doi]
• Spectral Analysis for Billion-Scale Graphs: Discoveries and ImplementationU. Kang, Brendan Meeder, Christos Faloutsos. 13-25 [doi]
• LGM: Mining Frequent Subgraphs from Linear GraphsYasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda. 26-37 [doi]
• Efficient Centrality Monitoring for Time-Evolving GraphsYasuhiro Fujiwara, Makoto Onizuka, Masaru Kitsuregawa. 38-50 [doi]
• Graph-Based Clustering with ConstraintsRajul Anand, Chandan K. Reddy. 51-62 [doi]
• A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEMJing Yang, Lian Li. 63-74 [doi]
• Predicting Friendship Links in Social Networks Using a Topic Modeling ApproachRohit Parimi, Doina Caragea. 75-86 [doi]
• Info-Cluster Based Regional Influence Analysis in Social NetworksChao Li, Zhongying Zhao, Jun Luo, Jianping Fan 0002. 87-98 [doi]
• Utilizing Past Relations and User Similarities in a Social Matching SystemRichi Nayak. 99-110 [doi]
• On Sampling Type Distribution from Heterogeneous Social NetworksJhao-Yin Li, Mi-Yen Yeh. 111-122 [doi]
• Ant Colony Optimization with Markov Random Walk for Community Detection in GraphsDi Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He. 123-134 [doi]
• Faster and Parameter-Free Discord Search in Quasi-Periodic Time SeriesWei Luo, Marcus Gallagher. 135-148 [doi]
• INSIGHT: Efficient and Effective Instance Selection for Time-Series ClassificationKrisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. 149-160 [doi]
• Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring TrendsHarya Widiputra, Russel Pears, Nikola Kasabov. 161-172 [doi]
• Probabilistic Feature Extraction from Multivariate Time Series Using Spatio-Temporal ConstraintsMichal Lewandowski, Dimitrios Makris, Jean-Christophe Nebel. 173-184 [doi]
• Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood CodingYasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai. 185-197 [doi]
• Compression for Anti-Adversarial LearningYan Zhou, W. Meador Inge, Murat Kantarcioglu. 198-209 [doi]
• Mining Sequential Patterns from Probabilistic DatabasesMuhammad Muzammal, Rajeev Raman. 210-221 [doi]
• Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic TrainingXu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda. 222-233 [doi]
• Packing Alignment: Alignment for Sequences of Various Length EventsAtsuyoshi Nakamura, Mineichi Kudo. 234-245 [doi]
• Multiple Distribution Data Description Learning Algorithm for Novelty DetectionTrung Le, Dat Tran, Wanli Ma, Dharmendra Sharma. 246-257 [doi]
• RADAR: Rare Category Detection via Computation of Boundary DegreeHao Huang, Qinming He, Jiangfeng He, Lianhang Ma. 258-269 [doi]
• RKOF: Robust Kernel-Based Local Outlier DetectionJun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu. 270-283 [doi]
• Chinese Categorization and Novelty MiningFlora S. Tsai, Yi Zhang. 284-295 [doi]
• Finding Rare Classes: Adapting Generative and Discriminative Models in Active LearningTimothy M. Hospedales, Shaogang Gong, Tao Xiang. 296-308 [doi]
• Margin-Based Over-Sampling Method for Learning from Imbalanced DatasetsXiannian Fan, Ke Tang, Thomas Weise. 309-320 [doi]
• Improving ::::k:::: Nearest Neighbor with Exemplar Generalization for Imbalanced ClassificationYuxuan Li, Xiuzhen Zhang. 321-332 [doi]
• Sample Subset Optimization for Classifying Imbalanced Biological DataPengyi Yang, Zili Zhang, Bing Bing Zhou, Albert Y. Zomaya. 333-344 [doi]
• Class Confidence Weighted ::::k::::NN Algorithms for Imbalanced Data SetsWei Liu, Sanjay Chawla. 345-356 [doi]
• Multi-agent Based Classification Using Argumentation from ExperienceMaya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon, Adam Zachary Wyner. 357-369 [doi]
• Agent-Based Subspace ClusteringChao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao. 370-381 [doi]
• Evaluating Pattern Set Mining Strategies in a Constraint Programming FrameworkTias Guns, Siegfried Nijssen, Luc De Raedt. 382-394 [doi]
• Asking Generalized Queries with Minimum CostJun Du, Charles X. Ling. 395-406 [doi]
• Ranking Individuals and Groups by Influence PropagationPei Li, Jeffrey Xu Yu, Hongyan Liu, Jun He, Xiaoyong Du. 407-419 [doi]
• Dynamic Ordering-Based Search Algorithm for Markov Blanket DiscoveryYifeng Zeng, Xian He, Yanping Xiang, Hua Mao. 420-431 [doi]
• Mining Association Rules for Label RankingCláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa. 432-443 [doi]
• Tracing Evolving Clusters by Subspace and Value SimilarityStephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl. 444-456 [doi]
• An IFS-Based Similarity Measure to Index ElectroencephalogramsGhita Berrada, Ander de Keijzer. 457-468 [doi]
• DISC: Data-Intensive Similarity Measure for Categorical DataAditya Desai, Himanshu Singh, Vikram Pudi. 469-481 [doi]
• ListOPT: Learning to Optimize for XML RankingNing Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang. 482-492 [doi]
• Item Set Mining Based on Cover SimilarityMarc Segond, Christian Borgelt. 493-505 [doi]
• Learning to Advertise: How Many Ads Are Enough?Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru. 506-518 [doi]
• TeamSkill: Modeling Team Chemistry in Online Multi-player GamesColin DeLong, Nishith Pathak, Kendrick Erickson, Eric Perrino, Kyong Jin Shim, Jaideep Srivastava. 519-531 [doi]
• Learning the Funding Momentum of Research ProjectsDan He, D. Stott Parker. 532-543 [doi]
• Local Feature Based Tensor Kernel for Image Manifold LearningYi Guo, Junbin Gao. 544-554 [doi]