This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010.
63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems.
I Data Mining Foundations
Cost Sensitive Classification in Data Mining Zhenxing Qin Chengqi Zhang Tao Wang Shichao Zhang 1
Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory Hong Yu Hu Luo Shuangshuang Chu 12
Discriminative Markov Logic Network Structure Learning Based on Propositionalization and X2-Test Quang-Thang Dinh Matthieu Exbrayat Christel Vrain 24
EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining Russel Pears Yun Sing Koh Gillian Dobbie 36
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering Santhana Chaimontree Katie Atkinson Frans Coenen 48
On Probabilistic Models for Uncertain Sequential Pattern Mining Muhammad Muzammal Rajeev Raman 60
Cube Based Summaries of Large Association Rule Sets Marie Ndiaye Cheikh T. Diop Arnaud Giacometti Patrick Marcel Arnaud Soulet 73
A Perceptron-Like Linear Supervised Algorithm for Text Classification Anestis Gkanogiannis Theodore Kalamboukis 86
Research on Time Series Forecasting Model Based on Moore Automata Yixiong Chen Zhongfu Wu Zhiguo Li Yixing Zhang 98
A Clustering Algorithm FCM-ACO for Supplier Base Management Weining Liu Lei Jiang 106
Nearest Neighbour Distance Matrix Classification Mohd Shamrie Sainin Rayner Alfred 114
Classification Inductive Rule Learning with Negated Features Stephanie Chua Frans Coenen Grant Malcolm 125
Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces Muhammad Marwan Muhammad Fuad Pierre-François Marteau 137
DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining Shilpa Sonawani Amrita Mishra 149
An Improved Rough Clustering Using Discernibility Based Initial Seed Computation Djoko Budiyanto Setyohadi Azuraliza Abu Bakar Zulaiha Ali Othman 161
Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling V.A. Narayana P. Premchand A. Govardhan 169
Topic-Constrained Hierarchical Clustering for Document Datasets Ying Zhao 181
Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach Azuraliza Abu Bakar Almahdi Mohammed Ahmed Abdul Razak Hamdan 193
MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN Gholamreza Esfandani Hassan Abolhassani 202
An Efficient Algorithm for Mining Erasable Itemsets Zhihong Deng Xiaoran Xu 214
Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series Shuai Jin Yubao Liu Zhijie Li 226
Deep Web Sources Classifier Based on DSOM-EACO Clustering Model Yong Feng Xianyong Chen Zhen Chen 238
Kernel Based K-Medoids for Clustering Data with Uncertainty Baoguo Yang Yang Zhang 246
Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery R. Vishnu Priya A. Vadivel R.S. Thakur 254
Spatial Neighborhood Clustering Based on Data Field Meng Fang Shuliang Wang Hong Jin 262
Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier I. Mendialdua B. Sierra E. Lazkano I. Irigoien E. Jauregi 270
A Centroid K-Nearest Neighbor Method Qingjiu Zhang Shiliang Sun 278
Mining Spatial Association Rules with Multi-relational Approach Min Qian Li-Jie Pu Rong Fu Ming Zhu 286
An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm Duo Wang Bo Cheng 294
A Novel Clustering Algorithm Based on Gravity and Cluster Merging Jiang Zhong Longhai Liu Zhiguo Li 302
II Data Mining in Specific Areas
Evolution Analysis of a Mobile Social Network Hao Wang Alvin Chin 310
Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks Qi Ye Bin Wu Bai Wang 322
Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution Xiangliang Zhang Wei Wang 334
Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data Wenhao Huang Zhengbin Dong Nan Zhao Hao Tian Guojie Song Guanhua Chen Yun Jiang Kunqing Xie 346
Frequent Pattern Trend Analysis in Social Networks Puteri N.E. Nohuddin Rob Christley Frans Coenen Yogesh Patel Christian Setzkorn Shane Williams 358
Efficient Privacy-Preserving Data Mining in Malicious Model Keita Emura Atsuko Miyaji Mohammad Shahriar Rahman 370
Analyze the Wild Birds' Migration Tracks by MPI-Based Parallel Clustering Algorithm HaiMing Zhang YuanChun Zhou JianHui Li XueZhi Wang BaoPing Yan 383
Formal Concept Analysis Based Clustering for Blog Network Visualization Jing Gao Wei Lai 394
Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach Chuntao Jiang Frans Coenen Michele Zito 405
Weigted-FP-Tree Based XML Query Pattern Mining Mi Sug Gu Jeong Hee Hwang Keun Ho Ryu 417
Privacy-Preserving Data Mining in Presence of Covert Adversaries Atsuko Miyaji Mohammad Shahriar Rahman 429
Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs Qi Ye Bin Wu Bai Wang 441
Combating Link Spam by Noisy Link Analysis Yitong Wang Xiaofei Chen Xiaojun Feng 453
High Dimensional Image Categorization François Poulet Nguyen-Khang Pham 465
Efficiently Mining Co-Location Rules on Interval Data Lizhen Wang Hongmei Chen Lihong Zhao Lihua Zhou 477
Multiple Attribute Frequent Mining-Based for Dengue Outbreak Zalizah Awang Long Azuraliza Abu Bakar Abdul Razak Hamdan Mazrura Sahani 489
A Top-Down Approach for Hierarchical Cluster Exploration by Visualization Ke-Bing Zhang Mehmet A. Orgun Peter A. Busch Abhaya C. Nayak 497
Distributed Frequent Items Detection on Uncertain Data Shuang Wang Guoren Wang Jitong Chen 509
Mining Uncertain Sentences with Multiple Instance Learning Feng Ji Xipeng Qiu Xuanjing Huang 521
WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data Hongrui Xie Yujiu Yang Wenhuang Liu 529
TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support Yuhua Li Quan Lin Ruixuan Li Dongsheng Duan 537
Research on Similarity Matching for Multiple Granularities Time-Series Data Wenning Hao Enlai Zhao Hongjun Zhang Gang Chen Dawei Jin 549
A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks Chuan Shi Jian Zhang Liangliang Shi Yanan Cai Bin Wu 557
Investigating Sequential Patterns of DNS Usage and Its Applications Jun Wu Xin Wang Xiaodong Lee Baoping Yan 565
Key Issues and Theoretical Framework on Moving Objects Data Mining Rong Xie Xin Luo 577
An Improved KNN Based Outlier Detection Algorithm for Large Datasets Qian Wang Min Zheng 585
Some Developments of Determinacy Analysis Rein Kuusik Grete Lind 593
A New Computational Framework for Gene Expression Clustering Shahreen Kasim Safaai Deris Razib M. Othman 603
Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree Defu Zhang Bo Wu Xian Hua Yangbin Yang 611
Inspired Rule-Based User Identification Peng Yang Yan Zheng 618
Author Index 625
Overview
This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010.
63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems.
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