14. PAKDD 2010: Hyderabad, India

Keynote Speeches

• Wei-Ying Ma:
  Empower People with Knowledge: The Next Frontier for Web Search. 1
  
• Vipin Kumar:
  Discovery of Patterns in Global Earth Science Data Using Data Mining. 2
  
• Y. Narahari:
  Game Theoretic Approaches to Knowledge Discovery and Data Mining. 3
  

Clustering I

• Xuan Vinh Nguyen, Michael E. Houle:
  A Set Correlation Model for Partitional Clustering. 4-15
  
• Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
  iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. 16-27
  
• Mohammad S. Aziz, Chandan K. Reddy:
  A Robust Seedless Algorithm for Correlation Clustering. 28-37
  
• Christian Böhm, Sebastian Goebl, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
  Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. 38-47
  
• Hyuk Cho:
  Data Transformation for Sum Squared Residue. 48-55
  

Social Networks

• Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen:
  A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods. 56-67
  
• Kuan Zhang, David Lo, Ee-Peng Lim:
  Mining Antagonistic Communities from Social Networks. 68-80
  
• Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
  As Time Goes by: Discovering Eras in Evolving Social Networks. 81-90
  
• Arun S. Maiya, Tanya Y. Berger-Wolf:
  Online Sampling of High Centrality Individuals in Social Networks. 91-98
  
• Yao Zhang, Qing Gu, Jun Zheng, Daoxu Chen:
  Estimate on Expectation for Influence Maximization in Social Networks. 99-106
  

Classification I

• Md. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan K. Karmakar, M. Maruf Hossain, James Bailey:
  A Novel Scalable Multi-class ROC for Effective Visualization and Computation. 107-120
  
• Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong:
  Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. 121-133
  
• Gang Niu, Bo Dai, Lin Shang, Yangsheng Ji:
  Rough Margin Based Core Vector Machine. 134-141
  
• Nayyar Abbas Zaidi, David McG. Squire, David Suter:
  BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification. 142-149
  
• Milton García-Borroto, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa:
  A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification. 150-157
  

Privacy

• Michael W. K. Cheng, Byron Choi, William Kwok-Wai Cheung:
  Hiding Emerging Patterns with Local Recoding Generalization. 158-170
  
• Junqiang Liu, Ke Wang:
  Anonymizing Transaction Data by Integrating Suppression and Generalization. 171-180
  
• Xiaoxun Sun, Hua Wang, Jiuyong Li:
  Satisfying Privacy Requirements: One Step before Anonymization. 181-188
  
• Bin Yang, Hiroshi Nakagawa:
  Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation. 189-197
  
• Troy Raeder, Marina Blanton, Nitesh V. Chawla, Keith B. Frikken:
  Privacy-Preserving Network Aggregation. 198-207
  
• Yidong Li, Hong Shen:
  Multivariate Equi-width Data Swapping for Private Data Publication. 208-215
  

Spatio-Temporal Mining

• Vadeerat Rinsurongkawong, Christoph F. Eick:
  Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets. 216-227
  
• Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan:
  Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids. 228-237
  
• Yi Lin, Michael D. McCool:
  Subseries Join: A Similarity-Based Time Series Match Approach. 238-245
  
• Michael Barnathan, Vasileios Megalooikonomou, Christos Faloutsos, Feroze B. Mohamed, Scott Faro:
  TWave: High-Order Analysis of Spatiotemporal Data. 246-253
  
• Xueping Zhang, Haohua Du, Jiayao Wang:
  Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO. 254-261
  

Pattern Mining

• Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao:
  An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. 262-273
  
• Yun Sing Koh, Russel Pears, Wai-Kiang Yeap:
  Valency Based Weighted Association Rule Mining. 274-285
  
• Robert Gwadera, Fabio Crestani:
  Ranking Sequential Patterns with Respect to Significance. 286-299
  
• Boris Cule, Bart Goethals:
  Mining Association Rules in Long Sequences. 300-309
  
• Wenzhi Zhou, Hongyan Liu, Hong Cheng:
  Mining Closed Episodes from Event Sequences Efficiently. 310-318
  
• Sourav Dutta, Arnab Bhattacharya:
  Most Significant Substring Mining Based on Chi-square Measure. 319-327
  

Recommendations/Answers

• Vikas Bhardwaj, Ramaswamy Devarajan:
  Probabilistic User Modeling in the Presence of Drifting Concepts. 328-339
  
• Gavin Shaw, Yue Xu, Shlomo Geva:
  Using Association Rules to Solve the Cold-Start Problem in Recommender Systems. 340-347
  
• Christine Preisach, Leandro Balby Marinho, Lars Schmidt-Thieme:
  Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. 348-357
  
• Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang:
  Cost-Sensitive Listwise Ranking Approach. 358-366
  
• Yajie Miao, Chunping Li:
  Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA. 367-374
  
• Palakorn Achananuparp, Xiaohua Hu, Tingting He, Christopher C. Yang, Yuan An, Lifan Guo:
  Answer Diversification for Complex Question Answering on the Web. 375-382
  
• Zhaoyan Ming, Kai Wang, Tat-Seng Chua:
  Vocabulary Filtering for Term Weighting in Archived Question Search. 383-390
  

Topic Modeling/Information Extraction

• R. Arun, V. Suresh, C. E. Veni Madhavan, M. N. Narasimha Murthy:
  On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. 391-402
  
• Wanhong Xu:
  Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression. 403-414
  
• Pallika Kanani, Andrew McCallum, Shaohan Hu:
  Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand. 415-427
  
• Lu Jiang, Zhaohui Wu, Qian Feng, Jun Liu, Qinghua Zheng:
  Efficient Deep Web Crawling Using Reinforcement Learning. 428-439
  
• Wei Chen, Can Wang, Chun Chen, Lijun Zhang, Jiajun Bu:
  Topic Decomposition and Summarization. 440-448
  

Skylines/Uncertainty

• Jiaqi Ge, Yuni Xia, Chandima H. Nadungodage:
  UNN: A Neural Network for Uncertain Data Classification. 449-460
  
• Christian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
  SkyDist: Data Mining on Skyline Objects. 461-470
  
• Cuiping Li, Wenlin He, Hong Chen:
  Multi-Source Skyline Queries Processing in Multi-Dimensional Space. 471-479
  
• Toon Calders, Calin Garboni, Bart Goethals:
  Efficient Pattern Mining of Uncertain Data with Sampling. 480-487
  
• Shirui Pan, Kuan Wu, Yang Zhang, Xue Li:
  Classifier Ensemble for Uncertain Data Stream Classification. 488-495
  

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