Table of Contents

• Empower People with Knowledge: The Next Frontier for Web SearchWei-Ying Ma. 1 [doi]
• Discovery of Patterns in Global Earth Science Data Using Data MiningVipin Kumar. 2 [doi]
• Game Theoretic Approaches to Knowledge Discovery and Data MiningY. Narahari. 3 [doi]
• A Set Correlation Model for Partitional ClusteringXuan Vinh Nguyen, Michael E. Houle. 4-15 [doi]
• iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency AssessmentLiang Wang 0001, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao. 16-27 [doi]
• A Robust Seedless Algorithm for Correlation ClusteringMohammad S. Aziz, Chandan K. Reddy. 28-37 [doi]
• Integrative Parameter-Free Clustering of Data with Mixed Type AttributesChristian Böhm, Sebastian Goebl, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther. 38-47 [doi]
• Data Transformation for Sum Squared ResidueHyuk Cho. 48-55 [doi]
• A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering MethodsChen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen. 56-67 [doi]
• Mining Antagonistic Communities from Social NetworksKuan Zhang, David Lo, Ee-Peng Lim. 68-80 [doi]
• As Time Goes by: Discovering Eras in Evolving Social NetworksMichele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi. 81-90 [doi]
• Online Sampling of High Centrality Individuals in Social NetworksArun S. Maiya, Tanya Y. Berger-Wolf. 91-98 [doi]
• Estimate on Expectation for Influence Maximization in Social NetworksYao Zhang, Qing Gu, Jun Zheng, Daoxu Chen. 99-106 [doi]
• A Novel Scalable Multi-class ROC for Effective Visualization and ComputationMd. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan K. Karmakar, M. Maruf Hossain, James Bailey. 107-120 [doi]
• Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCLThanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong. 121-133 [doi]
• Rough Margin Based Core Vector MachineGang Niu, Bo Dai, Lin Shang, Yangsheng Ji. 134-141 [doi]
• BoostML: An Adaptive Metric Learning for Nearest Neighbor ClassificationNayyar Abbas Zaidi, David McG. Squire, David Suter. 142-149 [doi]
• A New Emerging Pattern Mining Algorithm and Its Application in Supervised ClassificationMilton García-Borroto, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa. 150-157 [doi]
• Hiding Emerging Patterns with Local Recoding GeneralizationMichael W. K. Cheng, Byron Koon Kau Choi, William Kwok-Wai Cheung. 158-170 [doi]
• Anonymizing Transaction Data by Integrating Suppression and GeneralizationJunqiang Liu, Ke Wang. 171-180 [doi]
• Satisfying Privacy Requirements: One Step before AnonymizationXiaoxun Sun, Hua Wang, Jiuyong Li. 181-188 [doi]
• Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet AllocationBin Yang, Hiroshi Nakagawa. 189-197 [doi]
• Privacy-Preserving Network AggregationTroy Raeder, Marina Blanton, Nitesh V. Chawla, Keith B. Frikken. 198-207 [doi]
• Multivariate Equi-width Data Swapping for Private Data PublicationYidong Li, Hong Shen. 208-215 [doi]
• Correspondence Clustering: An Approach to Cluster Multiple Related Spatial DatasetsVadeerat Rinsurongkawong, Christoph F. Eick. 216-227 [doi]
• Mining Trajectory Corridors Using Fréchet Distance and Meshing GridsHaohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan. 228-237 [doi]
• Subseries Join: A Similarity-Based Time Series Match ApproachYi Lin, Michael D. McCool. 238-245 [doi]
• TWave: High-Order Analysis of Spatiotemporal DataMichael Barnathan, Vasileios Megalooikonomou, Christos Faloutsos, Feroze B. Mohamed, Scott Faro. 246-253 [doi]
• Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSOXueping Zhang, Haohua Du, Jiayao Wang. 254-261 [doi]
• An Efficient GA-Based Algorithm for Mining Negative Sequential PatternsZhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao. 262-273 [doi]
• Valency Based Weighted Association Rule MiningYun Sing Koh, Russel Pears, Wai-Kiang Yeap. 274-285 [doi]
• Ranking Sequential Patterns with Respect to SignificanceRobert Gwadera, Fabio Crestani. 286-299 [doi]
• Mining Association Rules in Long SequencesBoris Cule, Bart Goethals. 300-309 [doi]
• Mining Closed Episodes from Event Sequences EfficientlyWenzhi Zhou, Hongyan Liu, Hong Cheng. 310-318 [doi]
• Most Significant Substring Mining Based on Chi-square MeasureSourav Dutta, Arnab Bhattacharya. 319-327 [doi]
• Probabilistic User Modeling in the Presence of Drifting ConceptsVikas Bhardwaj, Ramaswamy Devarajan. 328-339 [doi]
• Using Association Rules to Solve the Cold-Start Problem in Recommender SystemsGavin Shaw, Yue Xu, Shlomo Geva. 340-347 [doi]
• Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start ProblemsChristine Preisach, Leandro Balby Marinho, Lars Schmidt-Thieme. 348-357 [doi]
• Cost-Sensitive Listwise Ranking ApproachMin Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang. 358-366 [doi]
• Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QAYajie Miao, Chunping Li. 367-374 [doi]
• Answer Diversification for Complex Question Answering on the WebPalakorn Achananuparp, Xiaohua Hu, Tingting He, Christopher C. Yang, Yuan An, Lifan Guo. 375-382 [doi]
• Vocabulary Filtering for Term Weighting in Archived Question SearchZhaoyan Ming, Kai Wang, Tat-Seng Chua. 383-390 [doi]
• On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some ObservationsR. Arun, V. Suresh, C. E. Veni Madhavan, M. N. Narasimha Murthy. 391-402 [doi]
• Supervising Latent Topic Model for Maximum-Margin Text Classification and RegressionWanhong Xu. 403-414 [doi]
• Resource-Bounded Information Extraction: Acquiring Missing Feature Values on DemandPallika Kanani, Andrew McCallum, Shaohan Hu. 415-427 [doi]
• Efficient Deep Web Crawling Using Reinforcement LearningLu Jiang, Zhaohui Wu, Qian Feng, Jun Liu, Qinghua Zheng. 428-439 [doi]
• Topic Decomposition and SummarizationWei Chen, Can Wang, Chun Chen, Lijun Zhang 0005, Jiajun Bu. 440-448 [doi]
• UNN: A Neural Network for Uncertain Data ClassificationJiaqi Ge, Yuni Xia, Chandima H. Nadungodage. 449-460 [doi]
• SkyDist: Data Mining on Skyline ObjectsChristian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther. 461-470 [doi]
• Multi-Source Skyline Queries Processing in Multi-Dimensional SpaceCuiping Li, Wenlin He, Hong Chen. 471-479 [doi]
• Efficient Pattern Mining of Uncertain Data with SamplingToon Calders, Calin Garboni, Bart Goethals. 480-487 [doi]
• Classifier Ensemble for Uncertain Data Stream ClassificationShirui Pan, Kuan Wu, Yang Zhang, Xue Li. 488-495 [doi]