| Description |
1 online resource (xxiii, 619 pages) |
| Series |
Lecture notes in artificial intelligence ; 7301 |
|
Lecture notes in computer science, 0302-9743 |
|
LNCS sublibrary. SL 7, Artificial intelligence |
|
Lecture notes in computer science. Lecture notes in artificial intelligence ; 7301
|
|
Lecture notes in computer science.
|
|
LNCS sublibrary. SL 7, Artificial intelligence.
|
| Contents |
Time-Evolving Relational Classification and Ensemble Methods / Ryan Rossi and Jennifer Neville -- Active Learning for Hierarchical Text Classification / Xiao Li, Da Kuang and Charles X. Ling -- TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games / Colin DeLong and Jaideep Srivastava -- A Novel Weighted Ensemble Technique for Time Series Forecasting / Ratnadip Adhikari and R.K. Agrawal -- Techniques for Efficient Learning without Search / Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb and Janice R. Boughton -- An Aggressive Margin-Based Algorithm for Incremental Learning / JuiHsi Fu and SingLing Lee -- Two-View Online Learning / Tam T. Nguyen, Kuiyu Chang and Siu Cheung Hui -- A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition / Zhihua Liao and Zili Zhang -- Neighborhood Random Classification / Djamel Abdelkader Zighed, Diala Ezzeddine and Fabien Rico -- SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise / Katsiaryna Mirylenka, George Giannakopoulos and Themis Palpanas -- Building Decision Trees for the Multi-class Imbalance Problem / T. Ryan Hoens, Qi Qian, Nitesh V. Chawla and Zhi-Hua Zhou -- Scalable Random Forests for Massive Data / Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang and Shengzhong Feng -- Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data / Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Mark Junjie Li and Yunming Ye |
|
Learning Tree Structure of Label Dependency for Multi-label Learning / Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu and Peter Dolog -- Multiple Instance Learning for Group Record Linkage / Zhichun Fu, Jun Zhou, Peter Christen and Mac Boot -- Incremental Set Recommendation Based on Class Differences / Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama and Shin-ichi Minato -- Active Learning for Cross Language Text Categorization / Yue Liu, Lin Dai, Weitao Zhou and Heyan Huang -- Evasion Attack of Multi-class Linear Classifiers / Han Xiao, Thomas Stibor and Claudia Eckert -- Foundation of Mining Class-Imbalanced Data / Da Kuang, Charles X. Ling and Jun Du -- Active Learning with c-Certainty / Eileen A. Ni and Charles X. Ling -- A Term Association Translation Model for Naive Bayes Text Classification / Meng-Sung Wu and Hsin-Min Wang -- A Double-Ensemble Approach for Classifying Skewed Data Streams / Chongsheng Zhang and Paolo Soda -- Generating Balanced Classifier-Independent Training Samples from Unlabeled Data / Youngja Park, Zijie Qi, Suresh N. Chari and Ian M. Molloy -- Nyström Approximate Model Selection for LSSVM / Lizhong Ding and Shizhong Liao -- Exploiting Label Dependency for Hierarchical Multi-label Classification / Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi -- Diversity Analysis on Boosting Nominal Concepts / Nida Meddouri, Héla Khoufi and Mondher Sadok Maddouri -- Extreme Value Prediction for Zero-Inflated Data / Fan Xin and Zubin Abraham |
|
880-01 Unsupervised Multi-label Text Classification Using a World Knowledge Ontology / Xiaohui Tao, Yuefeng Li, Raymond Y.K. Lau and Hua Wang -- Semantic Social Network Analysis with Text Corpora / Dong-mei Yang, Hui Zheng, Ji-kun Yan and Ye Jin -- Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery / Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao and Kun Huang -- Feature Enriched Nonparametric Bayesian Co-clustering / Pu Wang, Carlotta Domeniconi, Huzefa Rangwala and Kathryn B. Laskey -- Shape-Based Clustering for Time Series Data / Warissara Meesrikamolkul, Vit Niennattrakul and Chotirat Ann Ratanamahatana -- Privacy-Preserving EM Algorithm for Clustering on Social Network / Bin Yang, Issei Sato and Hiroshi Nakagawa -- Named Entity Recognition and Identification for Finding the Owner of a Home Page / Vassilis Plachouras, Matthieu Rivière and Michalis Vazirgiannis -- Clustering and Understanding Documents via Discrimination Information Maximization / Malik Tahir Hassan and Asim Karim -- A Semi-supervised Incremental Clustering Algorithm for Streaming Data / Maria Halkidi, Myra Spiliopoulou and Aikaterini Pavlou -- Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence / Anastasios Zouzias, Michail Vlachos and Nikolaos M. Freris -- Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback / Bin Wang, Mohammadreza Rahimi, Dequan Zhou and Xin Wang |
|
880-01/(S Learning to Diversify Expert Finding with Subtopics / Hang Su, Jie Tang and Wanling Hong -- An Associative Classifier for Uncertain Datasets / Metanat Hooshsadat and Osmar R. Zaïane -- Neighborhood-Based Smoothing of External Cluster Validity Measures / Ken-ichi Fukui and Masayuki Numao -- Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups within One Document / Young-Seob Jeong and Ho-Jin Choi -- Topological Comparisons of Proximity Measures / Djamel Abdelkader Zighed, Rafik Abdesselam and Asmelash Hadgu -- Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification / Wenjuan Luo, Fuzhen Zhuang, Qing He and Zhongzhi Shi -- Clustering-Based k-Anonymity / Xianmang He, HuaHui Chen, Yefang Chen, Yihong Dong and Peng Wang, et al. -- Unsupervised Ensemble Learning for Mining Top-n Outliers / Jun Gao, Weiming Hu, Zhongfei(Mark) Zhang and Ou Wu -- Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models / Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao and Jilei Tian -- Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases / Hardy Kremer, Stephan Günnemann, Arne Held and Thomas Seidl -- A Vertex Similarity Probability Model for Finding Network Community Structure / Kan Li and Yin Pang -- Hybrid-ε-greedy for Mobile Context-Aware Recommender System / Djallel Bouneffouf, Amel Bouzeghoub and Alda Lopes Gançarski |
| Summary |
The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume |
| Analysis |
Computer science |
|
Computer Communication Networks |
|
Computer software |
|
Database management |
|
Information storage and retrieval systems |
|
Artificial intelligence |
|
Information Systems Applications (incl. Internet) |
|
Information Storage and Retrieval |
|
Algorithm Analysis and Problem Complexity |
| Bibliography |
Includes bibliographical references and author index |
| Subject |
Data mining -- Congresses
|
|
Computer networks.
|
|
Information Storage and Retrieval
|
|
Computer Communication Networks
|
|
Informatique.
|
|
Computer networks
|
|
Data mining
|
| Genre/Form |
Conference papers and proceedings
|
|
Software.
|
| Form |
Electronic book
|
| Author |
Tan, Pang-Ning.
|
| ISBN |
9783642302176 |
|
3642302173 |
|
