1. ADMA 2005: Wuhan, China

Keynote Papers

• David L. Olson, Desheng Wu:
  Decision Making with Uncertainty and Data Mining. 1-9
  
• Deyi Li, Guisheng Chen, Baohua Cao:
  Complex Networks and Networked Data Mining. 10-12
  
• Chengqi Zhang, Shichao Zhang:
  In-Depth Data Mining and Its Application in Stock Market. 13
  
• Osmar R. Zaïane:
  Relevance of Counting in Data Mining Tasks. 14-18
  

Invited Papers

• Wei Wang, Diep Bich Do, Xuemin Lin:
  Term Graph Model for Text Classification. 19-30
  
• Yanchun Zhang, Guandong Xu, Xiaofang Zhou:
  A Latent Usage Approach for Clustering Web Transaction and Building User Profile. 31-42
  

Association Rules

• Qiang Tong, Baoping Yan, Yuanchun Zhou:
  Mining Quantitative Association Rules on Overlapped Intervals. 43-50
  
• Yang Bo He, Zhi Geng, Xun Liang:
  An Approach to Mining Local Causal Relationships from Databases. 51-58
  
• Siti Hairulnita Selamat, Mustafa Mat Deris, Rabiei Mamat, Zuriana Abu Bakar:
  Mining Least Relational Patterns from Multi Relational Tables. 59-66
  
• Mohammad El-Hajj, Osmar R. Zaïane:
  Finding All Frequent Patterns Starting from the Closure. 67-74
  
• Reda Alhajj, Mehmet Kaya:
  Multiagent Association Rules Mining in Cooperative Learning Systems. 75-87
  
• Kesaraporn Techapichetvanich, Amitava Datta:
  VisAR : A New Technique for Visualizing Mined Association Rules. 88-95
  
• Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang:
  An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. 96-107
  

Classification

• Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno:
  E-CIDIM: Ensemble of CIDIM Classifiers. 108-117
  
• Zhigang Liu, Wenzhong Shi, Deren Li, Qianqing Qin:
  Partially Supervised Classification - Based on Weighted Unlabeled Samples Support Vector Machine. 118-129
  
• Jian Chen, Jian Yin, Jin Huang:
  Mining Correlated Rules for Associative Classification. 130-140
  
• Hyontai Sug:
  A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases. 141-148
  
• Xiaohua Sun, Fansheng Kong, Xiaobing Yang, Song Ye:
  Using Latent Class Models for Neighbors Selection in Collaborative Filtering. 149-156
  
• YuBo Yuan, TingZhu Huang:
  A Polynomial Smooth Support Vector Machine for Classification. 157-164
  
• Renpu Li, Dao Huang:
  Reducts in Incomplete Decision Tables. 165-174
  
• Liangxiao Jiang, Harry Zhang, Jiang Su:
  Learning k-Nearest Neighbor Naive Bayes for Ranking. 175-185
  
• Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su:
  One Dependence Augmented Naive Bayes. 186-194
  

Clustering

• Guojun Gan, Zijiang Yang, Jianhong Wu:
  A Genetic k-Modes Algorithm for Clustering Categorical Data. 195-202
  
• Lukui Shi, Pilian He:
  A Fast Fuzzy Clustering Algorithm for Large-Scale Datasets. 203-208
  
• Yongguo Liu, Yan Liu, Kefei Chen:
  Clustering with Noising Method. 209-216
  
• Chengying Mao, Yansheng Lu:
  Extracting the Representative Failure Executions via Clustering Analysis Based on Markov Profile Model. 217-224
  
• Weimin Ma, Guoqing Chen:
  Improvement on the Approximation Bound for Fuzzy-Neural Networks Clustering Method with Gaussian Membership Function. 225-231
  
• Can Yang, Jun Meng:
  Optimal Fuzzy Modeling Based on Minimum Cluster Volume. 232-239
  
• Bo Han, Lishan Kang, Huazhu Song:
  An Efficient Clustering Approach for Large Document Collections. 240-247
  
• Hua Yan, Lei Zhang, Yi Zhang:
  Clustering Categorical Data Using Coverage Density. 248-255
  

Novel Algorithms

• Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu:
  A New Support Vector Machine for Data Mining. 256-266
  
• Degang Chen, Qiang He, Xizhao Wang:
  The Infinite Polynomial Kernel for Support Vector Machine. 267-275
  
• Yanbing Liu, Hong Tang, Menghao Wang, Shixin Sun:
  Routing Attribute Data Mining Based on Rough Set Theory. 276-283
  
• Weijin Jiang, Yusheng Xu, Yuhui Xu:
  A Novel Data Mining Method Based on Ant Colony Algorithm. 284-291
  
• Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
  Context-Sensitive Regression Analysis for Distributed Data. 292-299
  
• Yu Zhao, Bing Li, Xiu Li, Wenhuang Liu, Shouju Ren:
  Customer Churn Prediction Using Improved One-Class Support Vector Machine. 300-306
  
• Xiaoyan Liu, Huaiqing Wang, Dongming Xu:
  The Application of Adaptive Partitioned Random Search in Feature Selection Problem. 307-314
  
• Marek Wojciechowski, Maciej Zakrzewicz:
  Heuristic Scheduling of Concurrent Data Mining Queries. 315-322
  
• Chuanhuan Yin, Shengfeng Tian, Shaomin Mu:
  Using Gap-Insensitive String Kernel to Detect Masquerading. 323-330
  
• Yugang Tian, Peijun Shi, Xinzhou Wang, Kun Qin:
  A New Method for Linear Ill-Posed Problems: Iteration Method by Rectifying Eigenvalue. 331-338
  

Text Mining

• Zhi-Hong Deng, Shi-Wei Tang:
  A Non-VSM kNN Algorithm for Text Classification. 339-346
  
• Xiangwei Liu, Pilian He:
  A Study on Text Clustering Algorithms Based on Frequent Term Sets. 347-354
  
• Xiaoyun Chen, Yi Chen, Ronglu Li, Yunfa Hu:
  An Improvement of Text Association Classification Using Rules Weights. 355-363
  
• Xiaochun Huang, Jian Chen, Puliu Yan, Xin Luo:
  Word Segmentation and POS Tagging for Chinese Keyphrase Extraction. 364-369
  
• Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro:
  Learning User Profiles from Text in e-Commerce. 370-381
  

Multimedia Mining

• Cheng Zeng, Jiaheng Cao, Ying Fang, Pei Du:
  Data Mining Based on Objects in Video Flow with Dynamic Background. 382-390
  
• Jianguo Tang, Wenyin Zhang, Chao Li:
  An Approach to Compressed Image Retrieval Based on JPEG2000 Framework. 391-399
  
• Fuyuan Peng, Yan Tian, Xi Yu, Guohua Xu, Qian Xia:
  Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation. 400-406
  
• Zhong Qu, Junhao Wen, Dan Yang, Ling Xu, Yu Wu:
  ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. 407-414
  
• Wenming Cao, Xiaoxia Pan, Shoujue Wang, Jing Hu:
  Digits Speech Recognition Based on Geometrical Learning. 415-422
  
• Xianmin Wang, Zequn Guan, Chenhan Wu:
  A Novel Information Hiding Technique for Remote Sensing Image. 423-430
  
• Junqing Yu, Yunfeng He, Shijun Li:
  Content-Based News Video Mining. 431-438
  
• Xiangyu Yu, Hong Sun:
  Automatic Image Registration via Clustering and Convex Hull Vertices Matching. 439-445
  
• Lin Wang, Hongmin Suo, Mo Dai:
  Fingerprint Image Segmentation Based on Gaussian-Hermite Moments. 446-454
  

Sequential Data Mining and Time Series Mining

• Shijie Song, Huaping Hu, Shiyao Jin:
  HVSM: A New Sequential Pattern Mining Algorithm Using Bitmap Representation. 455-463
  
• Li-fang Liu, Hong-wei Huo, Bao-Shu Wang:
  HGA-COFFEE : Aligning Multiple Sequences by Hybrid Genetic Algorithm. 464-473
  
• Edmond H. C. Wu, Philip L. H. Yu:
  Independent Component Analysis for Clustering Multivariate Time Series Data. 474-482
  
• Guiling Zhang, Jizhou Sun:
  Applying Fuzzy Neural Network to Intrusion Detection Based on Sequences of System Calls. 483-490
  

Web Mining

• Wenbin Hu, Bo Meng:
  Design and Implementation of Web Mining System Based on Multi-agent. 491-498
  
• Yunfeng Li, Yukun Cao, Qingsheng Zhu, Zhengyu Zhu:
  A Novel Framework for Web Page Classification Using Two-Stage Neural Network. 499-506
  
• Rob Law:
  Fuzzy Evaluation of Hotel Websites. 507-514
  
• Ching-Cheng Lee, Rashmi Prabhakara:
  Querying Web Images by Topic and Example Specification Methods. 515-526
  
• Qingzhang Chen, Jianghong Han, Yungang Lai, Wenxiu He, Keji Mao:
  The Research on Fuzzy Data Mining Applied on Browser Records. 527-535
  
• Xia Chen, Minqiang Li, Wei Zhao, Ding-Yi Chen:
  Discovering Conceptual Page Hierarchy of a Web Site from User Traversal History. 536-543
  

Biomedical Mining

• Jianlin Shao, Dong Xu, Lanzhou Wang, Yifei Wang:
  Bayesian Neural Networks for Prediction of Protein Secondary Structure. 544-551
  
• Tao Li, Chuanbo Chen:
  PromPredictor: A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome. 552-563
  
• Yonghong Peng:
  Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification. 564-574
  
• Lingjun Meng, Peter van der Putten, Haiyang Wang:
  A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS). 575-582
  
• Peng Liu, Elia El-Darzi, Lei Lei, Christos Vasilakis, Panagiotis Chountas, Wei Huang:
  An Analysis of Missing Data Treatment Methods and Their Application to Health Care Dataset. 583-590
  
• Xuan Liu, Hongmei He, Ondrej Sýkora:
  Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem. 591-597
  
• Haiwei Pan, Jianzhong Li, Zhang Wei:
  Mining Interesting Association Rules in Medical Images. 598-609
  
• Ricco Rakotomalala, Faouzi Mhamdi, Mourad Elloumi:
  Hybrid Feature Ranking for Proteins Classification. 610-617
  
• Yan-fu Li, Juan Liu:
  Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition. 618-625
  

Advanced Applications

• Xiaoxing Zhang, Haijun Ren, Yuming Liu, Qiyun Cheng, Caixin Sun:
  The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory. 626-633
  
• Wu Yang, Xiao-chun Yun, Yongtian Yang:
  Using Boosting Learning Method for Intrusion Detection. 634-641
  
• Chengwan He, Fei He, Keqing He, Jin Liu, Wenjie Tu:
  RoleOf Relationship and Its Meta Model for Design Pattern Instantiation. 642-653
  
• Yongjun Zhang:
  Automatic Inspection of Industrial Sheetmetal Parts with Single Non-metric CCD Camera. 654-661
  
• Il-Joo Shim, Kyung-Bae Chang, Ki-Hyung Yu, Dong-Woo Cho, Kyoo-Dong Song, Gwi-Tae Park:
  An Advanced Implementation of a Distributed Control Scheme Based on LonWorks System over IP Networks. 662-669
  
• Huazhu Song, Luo Zhong, Bo Han:
  Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine. 670-677
  
• Ming Li, Ronan Sleep:
  An LZ78 Based String Kernel. 678-689
  
• Bin Liu, Deyi Li, Jin Liu, Fei He:
  Classifying Class and Finding Community in UML Metamodel Network. 690-695
  
• Xin Xu, Xuening Wang:
  An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. 696-703
  
• Jingwei Huang, Qingfeng Fan, Qiongli Wu, Yanxiang He:
  Improved Grid Information Service Using the Idea of File-Parted Replication. 704-711
  
• Lianmei Zhang, Shihong Chen, Qiping Hu:
  Dynamic Shape Modeling of Consumers' Daily Load Based on Data Mining. 712-719
  
• Jinsong Gao, Wen Zhang, Zequn Guan:
  A Study on the Mechanism of Virtual SAN-Based Spatial Data Storage with Double-Thoroughfare in Grid. 720-727
  
• Zhijun Rong, Binbin Dan, Jiangang Yi:
  A BP Neural Network Predictor Model for Desulfurizing Molten Iron. 728-735
  
• Qiping Hu:
  A Flexible Report Architecture Based on Association Rules Mining. 736-743
  

Security and Privacy Issues

• Peng Zhang, Yunhai Tong, Shiwei Tang, Dongqing Yang:
  Privacy Preserving Naive Bayes Classification. 744-752
  
• Xia Chen, Maria E. Orlowska:
  A Further Study on Inverse Frequent Set Mining. 753-760
  

Spatial Data Mining

• Xun Liang:
  Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals. 761-768
  
• Min Wang, Jiancheng Luo, Chenghu Zhou:
  Linear Belts Mining from Spatial Database with Mathematical Morphological Operators. 769-776
  
• Zhenfeng Shao, Deren Li:
  Spatial Information Multi-grid for Data Mining. 777-784
  
• Peng-gen Cheng:
  A Uniform Framework of 3D Spatial Data Model and Data Mining from the Model. 785-791
  
• Hanning Yuan, Wenzhong Shi, Jiabing Sun:
  Mining Standard Land Price with Tension Spline Function. 792-803
  

Streaming Data Mining

• Lifeng Jia, Zhe Wang, Chunguang Zhou, Xiujuan Xu:
  Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy. 804-811
  
• Vasudha Bhatnagar, Sarabjeet Kaur Kochhar:
  User Subjectivity in Change Modeling of Streaming Itemsets. 812-823
  
• Yansheng Lu, Yufen Sun, Guiping Xu, Gang Liu:
  A Grid-Based Clustering Algorithm for High-Dimensional Data Streams. 824-831