| Graph Mining |
| Spectral Analysis of k-Balanced Signed Graphs / Leting Wu ; Xiaowei Ying ; Xintao Wu ; Aidong Lu ; Zhi-Hua Zhou |
| Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation / U Rang ; Brendan Meeder ; Christos Faloutsos |
| LGM: Mining Frequent Subgraphs from Linear Graphs / Yasuo Tabei ; Daisuke Okanohara ; Shuichi Hirose ; Koji Tsuda |
| Efficient Centrality Monitoring for Time-Evolving Graphs / Yasuhiro Fujiwara ; Makoto Onizuka ; Masaru Kitsuregawa |
| Graph-Based Clustering with Constraints / Rajul Anand ; Chandan K. Reddy |
| Social Network/Online Analysis |
| A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM / Jing Yang ; Lian Li |
| Predicting Friendship Links in Social Networks Using a Topic Modeling Approach / Rohit Parimi ; Doina Caragea |
| Info-Cluster Based Regional Influence Analysis in Social Networks / Chao Li ; Zhongying Zhao ; Jun Luo ; Jianping Fan |
| Utilizing Past Relations and User Similarities in a Social Matching System / Richi Nayak |
| On Sampling Type Distribution from Heterogeneous Social Networks / Jhao-Yin Li ; Mi-Yen Yeh |
| Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs / Di Jin ; Dayou Liu ; Bo Yang ; Carlos Baquero ; Dongxiao He |
| Time Series Analysis |
| Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series / Wei Luo ; Marcus Gallagher |
| INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification / Krisztian Buza ; Alexandros Nanopoulos ; Lars Schmidt-Thieme |
| Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends / Harya Widiputra ; Russel Pears ; Nikola Kasabov |
| Probabilistic Feature Extraction from Multivariate Time Series Using Spatio-Temporal Constraints / Michal Lewandowski ; Dimitrios Makris ; Jean-Christophe Nebel |
| Sequence Analysis |
| Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding / Yasuhiro Urabe ; Kenji Yamanishi ; Ryota Tomioka ; Hiroki Iwai |
| Compression for Anti-Adversarial Learning / Yan Zhou ; Meador Inge ; Murat Kantarcioglu |
| Mining Sequential Patterns from Probabilistic Databases / Muhammad Muzammal ; Rajeev Raman |
| Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training / Xu Sun ; Hisashi Kashima ; Naonori Ueda |
| Packing Alignment: Alignment for Sequences of Various Length Events / Atsuyoshi Nakamura ; Mineichi Kudo |
| Outlier Detection |
| Multiple Distribution Data Description Learning Algorithm for Novelty Detection / Trung Le ; Dat Tran ; Wanli Ma ; Dharmendra Sharma |
| RADAR: Rare Category Detection via Computation of Boundary Degree / Hao Huang ; Qinming He ; Jiangfeng He ; Lianhang Ma |
| RKOF: Robust Kernel-Based Local Outlier Detection / Jun Gao ; Weiming Hu ; Zhongfei (Mark) Zhang ; Xiaoqin Zhang ; Ou Wu |
| Chinese Categorization and Novelty Mining / Flora S. Tsai ; Yi Zhang |
| Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning / Timothy M. Hospedales ; Shaogang Gong ; Tao Xiang |
| Imbalanced Data Analysis |
| Margin-Based Over-Sampling Method for Learning From Imbalanced Datasets / Xiannian Fan ; Ke Tang ; Thomas Weise |
| Improving k Nearest Neighbor with Exemplar Generalization for Imbalanced Classification / Yuxuan Li ; Xiuzhen Zhang |
| Sample Subset Optimization for Classifying Imbalanced Biological Data / Pengyi Yang ; Zili Zhang ; Bing B. Zhou ; Albert Y. Zomaya |
| Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets / Wei Liu ; Sanjay Chawla |
| Agent Mining |
| Multi-agent Based Classification Using Argumentation from Experience / Maya Wardeh ; Frans Coenen ; Trevor Bench-Capon ; Adam Wyner |
| Agent-Based Subspace Clustering / Chao Luo ; Yanchang Zhao ; Dan Luo ; Chengqi Zhang ; Wei Cao |
| Evaluation (Similarity, Ranking, Query) |
| Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework / Tias Guns ; Siegfried Nijssen ; Luc De Raedt |
| Asking Generalized Queries with Minimum Cost / Jun Du ; Charles X. Ling |
| Ranking Individuals and Groups by Influence Propagation / Pei Li ; Jeffrey Xu Yu ; Hongyan Liu ; Jun He ; Xiaoyong Du |
| Dynamic Ordering-Based Search Algorithm for Markov Blanket Discovery / Yifeng Zeng ; Xian He ; Yanping Xiang ; Hua Mao |
| Mining Association Rules for Label Ranking / Cláudio Rebelo de Sá ; Carlos Soares ; AlÃpio Mário Jorge ; Paulo Azevedo ; Joaquim Costa |
| Tracing Evolving Clusters by Subspace and Value Similarity / Stephan Günnemann ; Hardy Kremer ; Charlotte Laufkötter ; Thomas Seidl |
| An IFS-Based Similarity Measure to Index Electroencephalograms / Ghita Berrada ; Ander de Keijzer |
| DISC: Data-Intensive Similarity Measure for Categorical Data / Aditya Desai ; Himanshu Singh ; Vikram Pudi |
| ListOPT: Learning to Optimize for XML Ranking / Ning Gao ; Zhi-Hong Deng ; Hang Yu ; Jia-Jian Jiang |
| Item Set Mining Based on Cover Similarity / Marc Segond ; Christian Borgelt |
| Applications |
| Learning to Advertise: How Many Ads Are Enough? / Bo Wang ; Zhaonan Li ; Jie Tang ; Kuo Zhang ; Songcan Chen ; Liyun Ru |
| TeamSkill: Modeling Team Chemistry in Online Multi-player Games / Colin DeLong ; Nishith Pathak ; Kendrick Erickson ; Eric Perrino ; Kyong Shim ; Jaideep Srivastava |
| Learning the Funding Momentum of Research Projects / Dan He ; D.S. Parker |
| Local Feature Based Tensor Kernel for Image Manifold Learning / Yi Guo ; Junbin Gao |
| Author Index |
| Graph Mining |
| Spectral Analysis of k-Balanced Signed Graphs / Leting Wu ; Xiaowei Ying ; Xintao Wu ; Aidong Lu ; Zhi-Hua Zhou |
| Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation / U Rang ; Brendan Meeder ; Christos Faloutsos |
| LGM: Mining Frequent Subgraphs from Linear Graphs / Yasuo Tabei ; Daisuke Okanohara ; Shuichi Hirose ; Koji Tsuda |
| Efficient Centrality Monitoring for Time-Evolving Graphs / Yasuhiro Fujiwara ; Makoto Onizuka ; Masaru Kitsuregawa |
| Graph-Based Clustering with Constraints / Rajul Anand ; Chandan K. Reddy |
