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ORCID16. PAKDD 2012: Kuala Lumpur, Malaysia
- Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey:
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7301, Springer 2012, ISBN 978-3-642-30216-9
Supervised Learning: Active, Ensemble, Rare-Class and Online
- Ryan A. Rossi, Jennifer Neville:
Time-Evolving Relational Classification and Ensemble Methods. 1-13 - Xiao Li, Da Kuang, Charles X. Ling:
Active Learning for Hierarchical Text Classification. 14-25 - Colin DeLong, Jaideep Srivastava
:
TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games. 26-37 - Ratnadip Adhikari, R. K. Agrawal:
A Novel Weighted Ensemble Technique for Time Series Forecasting. 38-49 - Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton:
Techniques for Efficient Learning without Search. 50-61 - JuiHsi Fu, SingLing Lee:
An Aggressive Margin-Based Algorithm for Incremental Learning. 62-73 - Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui:
Two-View Online Learning. 74-85 - Zhihua Liao, Zili Zhang:
A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition. 86-97 - Djamel Abdelkader Zighed, Diala Ezzeddine, Fabien Rico:
Neighborhood Random Classification. 98-108 - Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas:
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. 109-121 - T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou:
Building Decision Trees for the Multi-class Imbalance Problem. 122-134 - Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Random Forests for Massive Data. 135-146 - Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye:
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. 147-158 - Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog:
Learning Tree Structure of Label Dependency for Multi-label Learning. 159-170 - Zhichun Fu, Jun Zhou, Peter Christen, Mac Boot:
Multiple Instance Learning for Group Record Linkage. 171-182 - Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama, Shin-ichi Minato:
Incremental Set Recommendation Based on Class Differences. 183-194 - Yue Liu, Lin Dai, Weitao Zhou, Heyan Huang:
Active Learning for Cross Language Text Categorization. 195-206 - Han Xiao, Thomas Stibor, Claudia Eckert:
Evasion Attack of Multi-class Linear Classifiers. 207-218 - Da Kuang, Charles X. Ling, Jun Du:
Foundation of Mining Class-Imbalanced Data. 219-230 - Eileen A. Ni, Charles X. Ling:
Active Learning with c-Certainty. 231-242 - Meng-Sung Wu, Hsin-Min Wang:
A Term Association Translation Model for Naive Bayes Text Classification. 243-253 - Chongsheng Zhang, Paolo Soda:
A Double-Ensemble Approach for Classifying Skewed Data Streams. 254-265 - Youngja Park, Zijie Qi, Suresh Chari, Ian M. Molloy:
Generating Balanced Classifier-Independent Training Samples from Unlabeled Data. 266-281 - Lizhong Ding, Shizhong Liao:
Nyström Approximate Model Selection for LSSVM. 282-293 - Noor Alaydie, Chandan K. Reddy, Farshad Fotouhi:
Exploiting Label Dependency for Hierarchical Multi-label Classification. 294-305 - Nida Meddouri, Hela Khoufi, Mondher Maddouri:
Diversity Analysis on Boosting Nominal Concepts. 306-317 - Fan Xin, Zubin Abraham:
Extreme Value Prediction for Zero-Inflated Data. 318-329 - Hang Su, Jie Tang, Wanling Hong:
Learning to Diversify Expert Finding with Subtopics. 330-341 - Metanat HooshSadat, Osmar R. Zaïane:
An Associative Classifier for Uncertain Datasets. 342-353
Unsupervised Learning: Clustering, Probabilistic Modeling
- Ken-ichi Fukui, Masayuki Numao:
Neighborhood-Based Smoothing of External Cluster Validity Measures. 354-365 - Young-Seob Jeong, Ho-Jin Choi:
Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups within One Document. 366-378 - Djamel Abdelkader Zighed, Rafik Abdesselam, Asmelash Teka Hadgu:
Topological Comparisons of Proximity Measures. 379-391 - Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. 392-404 - Xianmang He, Huahui Chen, Yefang Chen, Yihong Dong, Peng Wang, Zhenhua Huang:
Clustering-Based k-Anonymity. 405-417 - Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu:
Unsupervised Ensemble Learning for Mining Top-n Outliers. 418-430 - Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian:
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models. 431-443 - Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl:
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. 444-455 - Kan Li, Yin Pang:
A Vertex Similarity Probability Model for Finding Network Community Structure. 456-467 - Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski:
Hybrid-ε-greedy for Mobile Context-Aware Recommender System. 468-479 - Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau, Hua Wang:
Unsupervised Multi-label Text Classification Using a World Knowledge Ontology. 480-492 - Dong-mei Yang, Hui Zheng, Jikun Yan, Ye Jin:
Semantic Social Network Analysis with Text Corpora. 493-504 - Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang:
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. 505-516 - Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey:
Feature Enriched Nonparametric Bayesian Co-clustering. 517-529 - Warissara Meesrikamolkul, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
Shape-Based Clustering for Time Series Data. 530-541 - Bin Yang, Issei Sato, Hiroshi Nakagawa:
Privacy-Preserving EM Algorithm for Clustering on Social Network. 542-553 - Vassilis Plachouras, Matthieu Rivière, Michalis Vazirgiannis:
Named Entity Recognition and Identification for Finding the Owner of a Home Page. 554-565 - Malik Tahir Hassan, Asim Karim:
Clustering and Understanding Documents via Discrimination Information Maximization. 566-577 - Maria Halkidi, Myra Spiliopoulou, Aikaterini Pavlou:
A Semi-supervised Incremental Clustering Algorithm for Streaming Data. 578-590 - Anastasios Zouzias, Michail Vlachos, Nikolaos M. Freris:
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. 591-603 - Bin Wang, Mohammadreza Rahimi, Dequan Zhou, Xin Wang:
Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback. 604-616
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