Table of Contents

• Maximizing Friend-Making Likelihood for Social Activity OrganizationChih-Ya Shen, De-Nian Yang, Wang-Chien Lee, Ming-Syan Chen. 3-15 [doi]
• What Is New in Our City? A Framework for Event Extraction Using Social Media PostsChaolun Xia, Jun Hu, Yan Zhu, Mor Naaman. 16-32 [doi]
• Link Prediction in Aligned Heterogeneous NetworksFangbing Liu, Shu-Tao Xia. 33-44 [doi]
• Scale-Adaptive Group Optimization for Social Activity PlanningHong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen. 45-57 [doi]
• Influence Maximization Across Partially Aligned Heterogenous Social NetworksQianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie. 58-69 [doi]
• Multiple Factors-Aware Diffusion in Social NetworksChung-Kuang Chou, Ming-Syan Chen. 70-81 [doi]
• Understanding Community Effects on Information DiffusionShuyang Lin, Qingbo Hu, Guan Wang, Philip S. Yu. 82-95 [doi]
• On Burst Detection and Prediction in Retweeting SequenceZhilin Luo, Yue Wang 0009, Xintao Wu, Wandong Cai, Ting Chen. 96-107 [doi]
• #FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social NetworkKoustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh. 108-121 [doi]
• Retweeting Activity on Twitter: Signs of DeceptionMaria Giatsoglou, Despoina Chatzakou, Neil Shah, Christos Faloutsos, Athena Vakali. 122-134 [doi]
• Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social NetworkKouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. 135-147 [doi]
• Double Ramp Loss Based Reject Option ClassifierNaresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan. 151-163 [doi]
• Efficient Methods for Multi-label ClassificationChonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau. 164-175 [doi]
• A Coupled k-Nearest Neighbor Algorithm for Multi-label ClassificationChunming Liu, Longbing Cao. 176-187 [doi]
• Learning Topic-Oriented Word Embedding for Query ClassificationHebin Yang, Qinmin Hu, Liang He. 188-198 [doi]
• Reliable Early Classification on Multivariate Time Series with Numerical and Categorical AttributesYu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei. 199-211 [doi]
• Distributed Document Representation for Document ClassificationRumeng Li, Hiroyuki Shindo. 212-225 [doi]
• Prediciton of Emergency Events: A Multi-Task Multi-Label Learning ApproachBudhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh. 226-238 [doi]
• Nearest Neighbor Method Based on Local Distribution for ClassificationChengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang. 239-250 [doi]
• Immune Centroids Over-Sampling Method for Multi-Class ClassificationXusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Yufeng Yao, Zhiming Cui. 251-263 [doi]
• Optimizing Classifiers for Hypothetical ScenariosReid A. Johnson, Troy Raeder, Nitesh V. Chawla. 264-276 [doi]
• Repulsive-SVDD ClassificationPhuoc Nguyen, Dat Tran. 277-288 [doi]
• Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text ClassificationMohammad Golam Sohrab, Makoto Miwa, Yutaka Sasaki. 289-300 [doi]
• Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task LearningSunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh. 303-316 [doi]
• Multi-Task Metric Learning on Network DataChen Fang, Daniel N. Rockmore. 317-329 [doi]
• A Bayesian Nonparametric Approach to Multilevel RegressionVu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui. 330-342 [doi]
• Learning Conditional Latent Structures from Multiple Data SourcesViet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui. 343-354 [doi]
• Collaborative Multi-view Learning with Active Discriminative Prior for RecommendationQing Zhang, Houfeng Wang. 355-368 [doi]
• Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine LearningZiqiang Shi, Rujie Liu. 369-379 [doi]
• Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple LanguagesKhoi-Nguyen Tran, Peter Christen, Scott Sanner, Lexing Xie. 380-391 [doi]
• Uncovering the Latent Structures of Crowd LabelingTian Tian, Jun Zhu. 392-404 [doi]
• Use Correlation Coefficients in Gaussian Process to Train Stable ELM ModelsYu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza. 405-417 [doi]
• Local Adaptive and Incremental Gaussian Mixture for Online Density EstimationTianyu Qiu, Furao Shen, Jinxi Zhao. 418-428 [doi]
• Latent Space Tracking from Heterogeneous Data with an Application for Anomaly DetectionJiaji Huang, Xia Ning. 429-441 [doi]
• A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix FactorizationWei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Chih-Jen Lin. 442-455 [doi]
• On Damage Identification in Civil Structures Using Tensor AnalysisNguyen Lu Dang Khoa, Bang Zhang, Yang Wang 0002, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie. 459-471 [doi]
• Predicting Smartphone Adoption in Social NetworksLe Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui. 472-485 [doi]
• Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory DataXiaoting Wang, Christopher Leckie, Hairuo Xie, Tharshan Vaithianathan. 486-497 [doi]
• Locating Self-Collection Points for Last-Mile Logistics Using Public Transport DataHuayu Wu, Dongxu Shao, Wee Siong Ng. 498-510 [doi]
• A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random FieldJin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb. 511-524 [doi]
• Online Prediction of Chess Match ResultMohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan. 525-537 [doi]
• Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of InvestmentsGreg Harris, Anand V. Panangadan, Viktor K. Prasanna. 538-549 [doi]
• Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research LiteratureAdham Beykikhoshk, Ognjen Arandjelovic, Svetha Venkatesh, Dinh Q. Phung. 550-562 [doi]
• Automated Detection for Probable Homologous Foodborne Disease OutbreaksXiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li. 563-575 [doi]
• Identifying Hesitant and Interested Customers for Targeted Social MarketingGuowei Ma, Qi Liu, Le Wu, Enhong Chen. 576-590 [doi]
• Activity-Partner RecommendationWenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu. 591-604 [doi]
• Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender SystemsJoydeep Das, Subhashis Majumder, Debarshi Dutta, Prosenjit Gupta. 605-617 [doi]
• Principal Sensitivity AnalysisSotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii. 621-632 [doi]
• SocNL: Bayesian Label Propagation with ConfidenceYuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa. 633-645 [doi]
• An Incremental Local Distribution Network for Unsupervised LearningYoulu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao. 646-658 [doi]
• Trend-Based Citation Count Prediction for Research ArticlesCheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh. 659-671 [doi]
• Mining Text Enriched Heterogeneous Citation NetworksJan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac. 672-683 [doi]
• Boosting via Approaching Optimal Margin DistributionChuan Liu, Shizhong Liao. 684-695 [doi]
• o-HETM: An Online Hierarchical Entity Topic Model for News StreamsLinmei Hu, Juan-Zi Li, Jing Zhang, Chao Shao. 696-707 [doi]
• Modeling User Interest and Community Interest in Microbloggings: An Integrated ApproachTuan-Anh Hoang. 708-721 [doi]
• Minimal Jumping Emerging Patterns: Computation and Practical AssessmentBamba Kane, Bertrand Cuissart, Bruno Crémilleux. 722-733 [doi]
• Rank Matrix FactorisationThanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt. 734-746 [doi]
• An Empirical Study of Personal Factors and Social Effects on Rating PredictionZhijin Wang, Yan Yang, Qinmin Hu, Liang He. 747-758 [doi]