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ORCID19. PAKDD 2015: Ho Chi Minh City, Vietnam
- Tru H. Cao, Ee-Peng Lim
, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9077, Springer 2015, ISBN 978-3-319-18037-3
Social Networks and Social Media
- Chih-Ya Shen, De-Nian Yang, Wang-Chien Lee, Ming-Syan Chen:
Maximizing Friend-Making Likelihood for Social Activity Organization. 3-15 - Chaolun Xia, Jun Hu, Yan Zhu, Mor Naaman:
What Is New in Our City? A Framework for Event Extraction Using Social Media Posts. 16-32 - Fangbing Liu, Shu-Tao Xia:
Link Prediction in Aligned Heterogeneous Networks. 33-44 - Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen:
Scale-Adaptive Group Optimization for Social Activity Planning. 45-57 - Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie:
Influence Maximization Across Partially Aligned Heterogenous Social Networks. 58-69 - Chung-Kuang Chou, Ming-Syan Chen:
Multiple Factors-Aware Diffusion in Social Networks. 70-81 - Shuyang Lin, Qingbo Hu, Guan Wang, Philip S. Yu:
Understanding Community Effects on Information Diffusion. 82-95 - Zhilin Luo, Yue Wang, Xintao Wu, Wandong Cai, Ting Chen:
On Burst Detection and Prediction in Retweeting Sequence. 96-107 - Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh:
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. 108-121 - Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Christos Faloutsos, Athena Vakali:
Retweeting Activity on Twitter: Signs of Deception. 122-134 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. 135-147
Classification
- Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan:
Double Ramp Loss Based Reject Option Classifier. 151-163 - Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau:
Efficient Methods for Multi-label Classification. 164-175 - Chunming Liu, Longbing Cao:
A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification. 176-187 - Hebin Yang, Qinmin Hu, Liang He:
Learning Topic-Oriented Word Embedding for Query Classification. 188-198 - Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei:
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. 199-211 - Rumeng Li, Hiroyuki Shindo:
Distributed Document Representation for Document Classification. 212-225 - Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh:
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. 226-238 - Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang:
Nearest Neighbor Method Based on Local Distribution for Classification. 239-250 - Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Yufeng Yao, Zhiming Cui:
Immune Centroids Over-Sampling Method for Multi-Class Classification. 251-263 - Reid A. Johnson, Troy Raeder, Nitesh V. Chawla:
Optimizing Classifiers for Hypothetical Scenarios. 264-276 - Phuoc Nguyen, Dat Tran:
Repulsive-SVDD Classification. 277-288 - Mohammad Golam Sohrab, Makoto Miwa, Yutaka Sasaki:
Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification. 289-300
Machine Learning
- Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. 303-316 - Chen Fang, Daniel N. Rockmore:
Multi-Task Metric Learning on Network Data. 317-329 - Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
A Bayesian Nonparametric Approach to Multilevel Regression. 330-342 - Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Learning Conditional Latent Structures from Multiple Data Sources. 343-354 - Qing Zhang, Houfeng Wang:
Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation. 355-368 - Ziqiang Shi, Rujie Liu:
Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning. 369-379 - Khoi-Nguyen Tran, Peter Christen, Scott Sanner, Lexing Xie:
Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages. 380-391 - Tian Tian, Jun Zhu:
Uncovering the Latent Structures of Crowd Labeling. 392-404 - Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza:
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. 405-417 - Tianyu Qiu, Furao Shen, Jinxi Zhao:
Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation. 418-428 - Jiaji Huang, Xia Ning:
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection. 429-441 - Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Chih-Jen Lin:
A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization. 442-455
Applications
- Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie:
On Damage Identification in Civil Structures Using Tensor Analysis. 459-471 - Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui:
Predicting Smartphone Adoption in Social Networks. 472-485 - Xiaoting Wang, Christopher Leckie, Hairuo Xie, Tharshan Vaithianathan:
Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data. 486-497 - Huayu Wu, Dongxu Shao, Wee Siong Ng:
Locating Self-Collection Points for Last-Mile Logistics Using Public Transport Data. 498-510 - Jin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb:
A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. 511-524 - Mohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan:
Online Prediction of Chess Match Result. 525-537 - Greg Harris, Anand V. Panangadan, Viktor K. Prasanna:
Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments. 538-549 - Adham Beykikhoshk, Ognjen Arandjelovic, Svetha Venkatesh, Dinh Q. Phung:
Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature. 550-562 - Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li:
Automated Detection for Probable Homologous Foodborne Disease Outbreaks. 563-575 - Guowei Ma, Qi Liu, Le Wu, Enhong Chen:
Identifying Hesitant and Interested Customers for Targeted Social Marketing. 576-590 - Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu:
Activity-Partner Recommendation. 591-604 - Joydeep Das, Subhashis Majumder, Debarshi Dutta, Prosenjit Gupta:
Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems. 605-617
Novel Methods and Algorithms
- Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii:
Principal Sensitivity Analysis. 621-632 - Yuto Yamaguchi, Christos Faloutsos, Hiroyuki Kitagawa:
SocNL: Bayesian Label Propagation with Confidence. 633-645 - Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao:
An Incremental Local Distribution Network for Unsupervised Learning. 646-658 - Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh:
Trend-Based Citation Count Prediction for Research Articles. 659-671 - Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac:
Mining Text Enriched Heterogeneous Citation Networks. 672-683 - Chuan Liu, Shizhong Liao:
Boosting via Approaching Optimal Margin Distribution. 684-695 - Linmei Hu, Juan-Zi Li, Jing Zhang, Chao Shao:
o-HETM: An Online Hierarchical Entity Topic Model for News Streams. 696-707 - Tuan-Anh Hoang:
Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach. 708-721 - Bamba Kane, Bertrand Cuissart, Bruno Crémilleux:
Minimal Jumping Emerging Patterns: Computation and Practical Assessment. 722-733 - Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt:
Rank Matrix Factorisation. 734-746 - Zhijin Wang, Yan Yang, Qinmin Hu, Liang He:
An Empirical Study of Personal Factors and Social Effects on Rating Prediction. 747-758
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