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ORCID14. PAKDD 2010: Hyderabad, India
- Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I. Lecture Notes in Computer Science 6118, Springer 2010, ISBN 978-3-642-13656-6
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. Narasimha Murty:
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 H. 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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