11. PAKDD 2007: Nanjing, China

Keynote Speeches

• Jiawei Han:
  Research Frontiers in Advanced Data Mining Technologies and Applications. 1-5
  
• Geoffrey I. Webb:
  Finding the Real Patterns. 6
  
• Xindong Wu:
  Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing. 7-8
  
• Bo Zhang, Ling Zhang:
  Multi-modal and Multi-granular Learning. 9-10
  

Regular Papers

• Bill Andreopoulos, Aijun An, Xiaogang Wang:
  Hierarchical Density-Based Clustering of Categorical Data and a Simplification. 11-22
  
• Johannes Aßfalg, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
  Multi-represented Classification Based on Confidence Estimation. 23-34
  
• Liefeng Bo, Ling Wang, Licheng Jiao:
  Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. 35-46
  
• Chun Kit Chui, Ben Kao, Edward Hung:
  Mining Frequent Itemsets from Uncertain Data. 47-58
  
• Daniel Crabtree, Peter Andreae, Xiaoying Gao:
  QC4 - A Clustering Evaluation Method. 59-70
  
• Dihua Guo, Hui Xiong, Vijay Atluri, Nabil R. Adam:
  Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery. 71-83
  
• Songtao Guo, Xintao Wu:
  Deriving Private Information from Arbitrarily Projected Data. 84-95
  
• Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu:
  Consistency Based Attribute Reduction. 96-107
  
• Jian Zhou, Haruhiko Shirai, Isamu Takahashi, Jousuke Kuroiwa, Tomohiro Odaka, Hisakazu Ogura:
  A Hybrid Command Sequence Model for Anomaly Detection. 108-118
  
• Kwanghoon Kim, Clarence A. Ellis:
  sigma - Algorithm : Structured Workflow Process Mining Through Amalgamating Temporal Workcases. 119-130
  
• Min-Woo Lee, Dong-Chul Park, Yunsik Lee:
  Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic. 131-137
  
• Ming Leng, Songnian Yu:
  An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph. 138-149
  
• Zhi Li, Hong Ma, Yongbing Mei:
  A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitting. 150-161
  
• Shizhong Liao, Lei Jia:
  Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines. 162-172
  
• Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye:
  Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation. 173-182
  
• Yinglong Ma, Beihong Jin, Yuancheng Li, Kehe Wu:
  A Timing Analysis Model for Ontology Evolutions Based on Distributed Environments. 183-192
  
• Weidong Mao, Shannon Kelly:
  An Optimum Random Forest Model for Prediction of Genetic Susceptibility to Complex Diseases. 193-204
  
• Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham:
  Feature Based Techniques for Auto-Detection of Novel Email Worms. 205-216
  
• Byung-Jae Min, Dong-Chul Park, Hwan-Soo Choi:
  Multiresolution-Based BiLinear Recurrent Neural Network. 217-223
  
• Laurence A. F. Park, Kotagiri Ramamohanarao:
  Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus. 224-235
  
• Bernhard Pfahringer, Claire Leschi, Peter Reutemann:
  Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. 236-247
  
• Rafael Ramirez, Montserrat Puiggros:
  A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data. 248-259
  
• Xingzhi Sun, Ming Chang, Xue Li, Maria E. Orlowska:
  Discovering Correlated Items in Data Streams. 260-271
  
• Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen:
  Incremental Clustering in Geography and Optimization Spaces. 272-283
  
• Kazuko Takahashi, Hiroya Takamura, Manabu Okumura:
  Estimation of Class Membership Probabilities in the Document Classification. 284-295
  
• Zhouxuan Teng, Wenliang Du:
  A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees. 296-307
  
• Chao Wang, Jie Lu, Guangquan Zhang:
  A Constrained Clustering Approach to Duplicate Detection Among Relational Data. 308-319
  
• Jinlong Wang, Congfu Xu, Gang Li, Zhenwen Dai, Guojing Luo:
  Understanding Research Field Evolving and Trend with Dynamic Bayesian Networks. 320-331
  
• Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang:
  Embedding New Data Points for Manifold Learning Via Coordinate Propagation. 332-343
  
• Wenxin Yang, Junping Zhang:
  Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA). 344-354
  
• Wei-Feng Zhang, Dao-Qing Dai, Hong Yan:
  On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks. 355-366
  
• Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu:
  A Clustering Algorithm Based on Mechanics. 367-378
  
• Yu-Jie Zheng, Zhibo Guo, Jian Yang, Xiaojun Wu, Jing-Yu Yang:
  DLDA/QR: A Robust Direct LDA Algorithm for Face Recognition and Its Theoretical Foundation. 379-387
  
• Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
  gPrune: A Constraint Pushing Framework for Graph Pattern Mining. 388-400
  

Short Papers

• Ridzwan Aminuddin, Ridzwan Suri, Kuiyu Chang, Zaki Zainudin, Qi He, Ee-Peng Lim:
  Modeling Anticipatory Event Transitions. 401-408
  
• Turgay Tugay Bilgin, A. Yilmaz Çamurcu:
  A Modified Relationship Based Clustering Framework for Density Based Clustering and Outlier Filtering on High Dimensional Datasets. 409-416
  
• Faliang Chang, Zhiqiang Ma, Wei Tian:
  A Region-Based Skin Color Detection Algorithm. 417-424
  
• Sam Chao, Yiping Li, Ming-Chui Dong:
  Supportive Utility of Irrelevant Features in Data Preprocessing. 425-432
  
• Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu:
  Incremental Mining of Sequential Patterns Using Prefix Tree. 433-440
  
• Zhenyu Chen, Jianping Li:
  A Multiple Kernel Support Vector Machine Scheme for Simultaneous Feature Selection and Rule-Based Classification. 441-448
  
• Victor Cheng, Chun-hung Li:
  Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering. 449-456
  
• Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang:
  Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. 457-464
  
• Deng-Yiv Chiu, Kong-Ling Hsieh:
  A Hybrid Incremental Clustering Method-Combining Support Vector Machine and Enhanced Clustering by Committee Clustering Algorithm. 465-472
  
• Huizhong Duan, Shenghua Bao, Yong Yu:
  CCRM: An Effective Algorithm for Mining Commodity Information from Threaded Chinese Customer Reviews. 473-480
  
• Qiguo Duan, Duoqian Miao, Kaimin Jin:
  A Rough Set Approach to Classifying Web Page Without Negative Examples. 481-488
  
• Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong:
  Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. 489-497
  
• Chun Che Fung, Kien-Ping Chung:
  Establishing Semantic Relationship in Inter-query Learning for Content-Based Image Retrieval Systems. 498-506
  
• Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo:
  Density-Sensitive Evolutionary Clustering. 507-514
  
• Pengfei Han, Xiuzhen Zhang, Raymond S. Norton, Zhi-Ping Feng:
  Reducing Overfitting in Predicting Intrinsically Unstructured Proteins. 515-522
  
• Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi:
  Temporal Relations Extraction in Mining Hepatitis Data. 523-530
  
• Guoping Hu, Dan Liu, Qingfeng Liu, Ren-Hua Wang:
  Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder. 531-538
  
• Minlie Huang, Xiaoyan Zhu:
  Combining Convolution Kernels Defined on Heterogeneous Sub-structures. 539-546
  
• Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe:
  Privacy-Preserving Sequential Pattern Release. 547-554
  
• Wei Jin, Rohini K. Srihari, Xin Wu:
  Mining Concept Associations for Knowledge Discovery Through Concept Chain Queries. 555-562
  
• Doo Kie Kim, Dong Hyawn Kim, Seong Kyu Chang, Sang Kil Chang:
  Capability Enhancement of Probabilistic Neural Network for the Design of Breakwater Armor Blocks. 563-570
  
• Kono Kim, Yeohoon Yoon, Harksoo Kim, Jungyun Seo:
  Named Entity Recognition Using Acyclic Weighted Digraphs: A Semi-supervised Statistical Method. 571-578
  
• Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic:
  Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. 579-586
  
• Hye-Chung Kum, Joong Hyuk Chang, Wei Wang:
  Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. 587-597
  
• Yongle Lü, Rongling Lang:
  A Hybrid Prediction Method Combining RBF Neural Network and FAR Model. 598-605
  
• Sang-Hyuk Lee, Jinho Kim, Se-Hwan Jang, Jong-Bae Park, Young-Hwan Jeon, Sung-Yong Sohn:
  An Advanced Fuzzy C-Mean Algorithm for Regional Clustering of Interconnected Systems. 606-615
  
• Song-Jae Lee, Dong-Chul Park:
  Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering. 616-622
  
• Yuxia Lei, Yan Wang, Baoxiang Cao, Jiguo Yu:
  Concept Interconnection Based on Many-Valued Context Analysis. 623-630
  
• Verayuth Lertnattee, Thanaruk Theeramunkong:
  Text Classification for Thai Medicinal Web Pages. 631-638
  
• Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong:
  A Fast Algorithm for Finding Correlation Clusters in Noise Data. 639-647
  
• Ming Li, De-San Yang:
  Application of Discrimination Degree for Attributes Reduction in Concept Lattice. 648-655
  
• Xiaohui Li, Yan Huang:
  A Language and a Visual Interface to Specify Complex Spatial Patterns. 656-663
  
• Yan Li, Jian Yu, Pengwei Hao, Zhulin Li:
  Clustering Ensembles Based on Normalized Edges. 664-671
  
• Yangyang Li, Licheng Jiao:
  Quantum-Inspired Immune Clonal Multiobjective Optimization Algorithm. 672-679
  
• Zhiyong Li, Weilin Wu:
  Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines. 680-687
  
• Hongbo Liu, Jiaxin Wang, Yannan Zhao, Zehong Yang:
  Mining the Impact Factors of Threads and Participators on Usenet Using Link Analysis. 688-695
  
• Jinfu Liu, Qinghua Hu, Daren Yu:
  Weighted Rough Set Learning: Towards a Subjective Approach. 696-703
  
• Jun Liu, Kotagiri Ramamohanarao:
  Multiple Self-Splitting and Merging Competitive Learning Algorithm. 704-711
  
• Xinguo Lu, Yaping Lin, Haijun Wang, Si-wang Zhou, Xiaolong Li:
  A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition. 712-719
  
• Ithipan Methasate, Thanaruk Theeramunkong:
  Experiments on Kernel Tree Support Vector Machines for Text Categorization. 720-727
  
• Hoong Kee Ng, Kang Ning, Hon Wai Leong:
  A New Approach for Similarity Queries of Biological Sequences in Databases. 728-736
  
• Sang Hyun Oh, Won Suk Lee:
  Anomaly Intrusion Detection Based on Dynamic Cluster Updating. 737-744
  
• Tomonobu Ozaki, Takenao Ohkawa:
  Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information. 745-752
  
• Nam Hun Park, Won Suk Lee:
  Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams. 753-760
  
• Bao-Zhi Qiu, Feng Yue, Jun-Yi Shen:
  BRIM: An Efficient Boundary Points Detecting Algorithm. 761-768
  
• Guang Qiu, Jiajun Bu, Chun Chen, Peng Huang, Keke Cai:
  Syntactic Impact on Sentence Similarity Measure in Archive-Based QA System. 769-776
  
• Issei Sato, Hiroshi Nakagawa:
  Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure. 777-784
  
• Ming-ming Sun, Jing-yu Yang:
  Principal Curves with Feature Continuity. 785-792
  
• Jinhui Tang, Xian-Sheng Hua, Yan Song, Guo-Jun Qi, Xiuqing Wu:
  Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation. 793-800
  
• Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu:
  Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method. 801-808
  
• Jin Tian, Minqiang Li, Fuzan Chen:
  A Cooperative Coevolution Algorithm of RBFNN for Classification. 809-816
  
• Cheng-Fa Tsai, Chia-Chen Yen:
  ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases. 817-824
  
• Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming-Syan Chen:
  Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network. 825-832
  
• Chi-Yao Tseng, Jen-Wei Huang, Ming-Syan Chen:
  ProMail: Using Progressive Email Social Network for Spam Detection. 833-840
  
• Kuralmani Vellaisamy, Jinyan Li:
  Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction. 841-848
  
• Cuiru Wang, Hejin Yuan, Jun Liu, Tao Zhou, Huiling Lu:
  A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis. 849-856
  
• Jinghua Wang, Jianyi Liu, Cong Wang:
  Keyword Extraction Based on PageRank. 857-864
  
• Limin Wang, Chunhong Cao, Xiongfei Li, Haijun Li:
  Finding the Optimal Feature Representations for Bayesian Network Learning. 865-870
  
• Shulin Wang, Ji Wang, Huowang Chen, Shutao Li:
  Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines. 871-878
  
• Su Wang, Bo Meng:
  Resource Allocation and Scheduling Problem Based on Genetic Algorithm and Ant Colony Optimization. 879-886
  
• Weixing Wang:
  Image Classification and Segmentation for Densely Packed Aggregates. 887-894
  
• Ling-Yin Wei, Man-Kwan Shan:
  Mining Temporal Co-orientation Pattern from Spatio-temporal Databases. 895-903
  
• Yimin Wen, Bao-Liang Lu:
  Incremental Learning of Support Vector Machines by Classifier Combining. 904-911
  
• Daya C. Wimalasuriya, Sridhar Ramachandran, Dejing Dou:
  Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels. 912-920
  
• Jung-Im Won, Sang-Kyoon Hong, Jeehee Yoon, Sanghyun Park, Sang-Wook Kim:
  A Practical Method for Approximate Subsequence Search in DNA Databases. 921-931
  
• Chen Wu, Quan Zhang:
  An Information Retrieval Model Based on Semantics. 932-939
  
• Hu Wu, Yongji Wang, Xiaoyong Huai:
  AttributeNets: An Incremental Learning Method for Interpretable Classification. 940-947
  
• Jing Wu, Pin Zhang, Zhang Xiong, Hao Sheng:
  Mining Personalization Interest and Navigation Patterns on Portal. 948-955
  
• Ke Wu, Bao-Liang Lu:
  Cross-Lingual Document Clustering. 956-963
  
• Peng Wu, Yuehui Chen:
  Grammar Guided Genetic Programming for Flexible Neural Trees Optimization. 964-971
  
• Shu Wu, Qingshan Jiang, Joshua Zhexue Huang:
  A New Initialization Method for Clustering Categorical Data. 972-980
  
• Zhili Wu, Chun-hung Li:
  L0-Constrained Regression for Data Mining. 981-988
  
• Xiaoli Li, Fang Cao, Yong He:
  Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS. 989-996
  
• Bin Xu, Danny Z. Chen:
  Density-Based Data Clustering Algorithms for Lower Dimensions Using Space-Filling Curves. 997-1005
  
• Limin Xu, Zhenmin Tang, Keke He, Bo Qian:
  Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification. 1006-1014
  
• Shengliang Xu, Shenghua Bao, Yong Yu, Yunbo Cao:
  Using Social Annotations to Smooth the Language Model for IR. 1015-1021
  
• Hong Yang, Jianxin Liu, Zhong Li:
  Affection Factor Optimization in Data Field Clustering. 1022-1028
  
• Dongyi Ye, Zhaojiong Chen, Jiankun Liao:
  A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination. 1029-1036
  
• Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens:
  Graph Nodes Clustering Based on the Commute-Time Kernel. 1037-1045
  
• Ying Yin, Yuhai Zhao, Bin Zhang:
  Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data. 1046-1054
  
• Kui Yu, Hao Wang, Xindong Wu:
  A Parallel Algorithm for Learning Bayesian Networks. 1055-1063
  
• Ting Yu, Simeon J. Simoff, Donald Stokes:
  Incorporating Prior Domain Knowledge into a Kernel Based Feature Selection Algorithm. 1064-1071
  
• Bin Zhang, Wen Jun Yin, Ming Xie, Jin Dong:
  Geo-spatial Clustering with Non-spatial Attributes and Geographic Non-overlapping Constraint: A Penalized Spatial Distance Measure. 1072-1079
  
• Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang:
  GBKII: An Imputation Method for Missing Values. 1080-1087
  
• Lijuan Zhang, Zhoujun Li, Huowang Chen:
  An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix. 1088-1095
  
• Nan Zhang:
  Towards Comprehensive Privacy Protection in Data Clustering. 1096-1104
  
• Xueping Zhang, Jiayao Wang, Mingguang Wu, Yi Cheng:
  A Novel Spatial Clustering with Obstacles Constraints Based on Particle Swarm Optimization and K-Medoids. 1105-1113
  
• Jun Hua Zhao, Xue Li, Zhao Yang Dong:
  Online Rare Events Detection. 1114-1121
  
• Qiang Zhao, Hua Chen, Zhi Geng:
  Structural Learning About Independence Graphs from Multiple Databases. 1122-1130
  
• Renliang Zhao, Jiatian Li:
  An Effective Method For Calculating Natural Adjacency Relation in Spatial Database. 1131-1139
  
• Weidong Zhao, Weihui Dai, Chunbin Tang:
  K-Centers Algorithm for Clustering Mixed Type Data. 1140-1147
  
• Li-Juan Zhou, Zhitang Li, Hao Tu:
  Proposion and Analysis of a TCP Feature of P2P Traffic. 1148-1155
  

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