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Keynote Speech and Invited Talks<br/>Machine Learning for Analyzing Human Brain Function<br/>Tom Mitchell.<br/>Subgroup Discovery Techniques and Applications<br/>Nada Lavrac..<br/>IT Development in the 21®' Century and Its Implications<br/>Unna Huh...<br/>Theoretic Foundations<br/>Data Mining of Gene Expression Microarray via Weighted Prefix Trees<br/>Tran Trang, Nguyen Cam Chi. Hoang Ngoc Minh.<br/>Automatic Extraction of Low Frequency Bilingual Word Paris from Parallel<br/>Corpora with Various Languages<br/>Hiroshi Echizen-ya, Kenji Araki, Yoshio Mornouchi.<br/>A Kennel Function Method in Clustering<br/>Ling Zhang, Tao Wu, Yanping Zhang.<br/>Performance Measurements for Privacy Preserving Data Mining<br/>Nan Zhang, Wei Zhao, Jianer Chen<br/>Extraction of Frequent Few-Overlapped Monotone DNF Formulas<br/>with Depth-First Pruning<br/>Yoshikazu Shima, Kouichi Hirata, Masateru Harao..<br/>Association Rules<br/>Rule Extraction fi-om Trained Support Vector Machines<br/>Ying Zhang, HongYe Su, Tao Jia, Man Chu.<br/>Pruning Derivative Partial Rules During Impact Rule Discovery<br/>Shiying Huang, Geoffrey 1. Webb..<br/>IGB: A New Informative Generic Base of Association Rules<br/>Oh. Gasmi, S. Ben Yahia, E. Mephu Nguifo, Y. Slimani.<br/>A Divide and Conquer Approach for Deriving Partially Ordered<br/>Sub-structures<br/>Sadok Ben Yahia, Yahya Slimani, Jihen Rezgui<br/>Finding Sporadic Rules Using Apriori'-Inverse<br/>Yim Sing Koh, Nathan Rountree...<br/>Automatic View Selection; An Application to Image Mining<br/>Manoranjan Dash, Deepak Kolippakkam..<br/>Pushing Tougher Constraints in Frequent Pattern Mining<br/>Francesco Bonchi, Claudia Lucchese. .<br/>An Efficient Compression Technique for Frequent Itemset Generation<br/>in Association Rule Mining<br/>Mafruz Zaman Ashrafi, David Taniar, Kate Smith...<br/>Mining Time-Profiled Associations: An Extended Abstact<br/>Jin Soung Yoo, Pusheng Zhang, Shashi Shekhar...<br/>Online Algorithms for Mining Inter-stream Associations fi'om Large<br/>Sensor Neworks<br/>K. K. Loo, Ivy Tong, Ben Kao<br/>Mining Frequent Ordered Patterns<br/>Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, and Shi-Wei Tang..<br/>Biomedical Domains<br/>Conditional Random Fields for Transmembrane Helix Prediction<br/>LiorLukov, Sanjay Chawla, W. Bret Church....<br/>A DNA Index Structure Using Frequency and Position Information<br/>of Genetic Alphabet<br/>Woo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim,<br/>Jee-Hee Yoon<br/>An Automatic Unsupervised Querying Algorithm for Efficient Information<br/>Extraction in Biomedical Domain<br/>Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen .<br/>Voting Fuzzy k-NN to Predict Protein Subcellular Localization from<br/>Normalized Amino Acid Pair Compositions<br/>Thai Quang Tung, Doheon Lee, Dae-Won Kim, Jong-Tae Lim...<br/>Comparison of Tree Based Methods on Mammography Data<br/>Richard De Veaux, Thu Hodng .<br/>Bayesian Sequence Learning for Predicting Protein Oldavage'Points<br/>Michael Mayo<br/>A Novel Indexing Method for Efficient Sequence Matchingdn Large DNA<br/>Database Environment<br/>Jung-Im Won, Jee-Hee Yoon, Sanghyun Park, Sang-^-Wooh.Klm.<br/>Classification and Ranking<br/>Threshold Tuning for Improved Classification Association Rule Mining<br/>Frans Coenen, Paul Leng, Lu Zhang ..<br/>Using Rough Set in Feature Selection and Reduction in Face<br/>Recognition Problem<br/>Le Hoai Bac, Nguyen Anh Tuan<br/>Analysis of Company Growth Data Using Genetic Algorithms on<br/>Binary Trees<br/>Gerrit K. Janssens, Kenneth Sorensen, Arthur Limkre, Koen Vanhoof,<br/>Considering Re-occurring Features in Associative Classifiers<br/>RafalRak, Wojciech Stach, OsmarR. ZaXane, Maria-Luiza Antonie..<br/>A New Evolutionary Neural Network Classifier<br/>Arit Thammano, Asavin Meengen .<br/>A Privacy-Preserving Classification Mining Algorithm<br/>Weiping Ge, Wei Wang, Xiaorong Li, Baile Shi.<br/>Combining Classifiers with Multi-representation of Context<br/>in Word Sense Disambiguation<br/>Cuong Anh Le, Va-Nam Huynh, Akira Shimazu...<br/>Automatic Occupation Coding with Combination of Machine Learning<br/>and Hand-Crafted Rules<br/>Kazuko Takahashi, Hiroya Takamura, Manabu Okumura<br/>Retrieval Based on Language Model with Relative Entropy and Feedback<br/>Hua Huo, Boqin Feng ...<br/>Text Classification for DAG-Structured Categories<br/>Cao D. Nguyen, Tran A. Dung, Tru H. Cao...<br/>Sentiment Classification Using Word Sub-sequences<br/>and Dependency Sub-trees<br/>Shotaro Matsumoto, Hiroya Takamura, Manabu Okumura.<br/>Improving Rough Classifiers Using Concept Ontology<br/>Nguyen Sink Hoa, Nguyen Hung Son.<br/>QED; An Efficient Framework for Temporal Region Query Processing<br/>Yi'Hong Chu, Kun-Ta Chuang, Ming-Syan Chen.<br/>Clustering<br/>A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest<br/>Neighbors Search for Time-Series Data Streams<br/>Jessica Lin, Michai Vlachos, Eamonn Keogh, Dimitrios Gunopulos,<br/>Jianwei Liu, Shoujian Yu, Jiajin Le..<br/>Locating Motifs in Time-Series Data<br/>Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang<br/>Stochastic Local Clustering for Massive Graphs<br/>Satu Elisa Schaeffer..<br/>A Neighborhood-Based Clustering Algorithm<br/>Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Huang<br/>Improved Self-splitting Competitive Learning Algorithm<br/>Jun Liu, Kotagiri Ramamohanarao<br/>Speeding-Up Hierarchical Agglomerative Clustering in Presence<br/>of Expensive Metrics<br/>Mirco Nanni<br/>Dynamic Cluster Formation Using Level Set Methods<br/>Andy M. Yip, Chris Ding, Tony F. Chan..<br/>A Vector Field Visualization Technique for Self-organizing Maps<br/>Georg Pdlzlbauer, Andreas Rauber, Michael Dittenbach .<br/>Visualization of Cluster Changes by Comparing Self-organizing Maps<br/>Denny McG. Squrie, David McG. Squire.<br/>An Incremental Data Stream Clustering Algorithm Based<br/>on Dense Units Detection<br/>Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan<br/>Visual Interactive Evolutionary Algorithm for High Dimensional Data<br/>Clustering and Outlier Detection<br/>Lydia Boudjeloud, Frangois Poulet<br/>Approximated Clustering of Distributed High-Dimensional Data<br/>Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, Matthias Renz.<br/>Dynamic Data Mining<br/>Improvements of IncSpan: Incremental Mining of Sequential Patterns<br/>in Large Database<br/>Son N. Nguyen, Xingzhi Sun, Maria E. Orlowska ...<br/>Efficient Sampling: Application to Image Data<br/>Surong Wang, Manoranjan Dash, Liang-Tien Chia...<br/>Cluster-Based Rough Set Construction<br/>Qiang Li, Bo Zhang<br/>Graphic Model Discovery<br/>Learning Bayesian Networks Structures firom Incomplete Data:<br/>An Efficient Approach Based on Extended Evolutionary Programming<br/>Xiaolin Li, Xiangdong He, Senmiao Yuan...<br/>Dynamic Fuzzy Clustering for Recommender Systems<br/>Sung-Hwan Min, Ingoo Han..<br/>Improving Mining Quality by Exploiting Data Dependency<br/>Fang Chu, Yizhou Wang, Carlo Zaniolo, D. Stott Parker<br/>High Dimensional Data<br/>Feature Selection for High Dimensional Face Image Using<br/>Self-organizing Maps<br/>Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang..<br/>Progressive Sampling for Association Rules Based on<br/>Sampling Error Estimation<br/>Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang..<br/>CLeVer: A Feature Subset Selection Technique for Multivariate Time Series<br/>Kiyoung Yang, Hyunjin Yoon, Cyrus Shahabi....<br/>Covariance and PC A for Categorical Variables<br/>Hirotaka Niitsuma, Takashi Okada ....<br/>Integration of Data Warehonsing<br/>ADenTS: An Adaptive Density-Based Tree Structure for Approxiinating<br/>Aggregate Queries over Real Attributes<br/>Ticmyi Wu, Jian Xu, Chen Wang, Wei Wang, Baile Shi<br/>Frequent Itemset Mining with Parallel RDBMS<br/>Xuequn Shang, Kai-Uwe Battler<br/>Knowledge Management<br/>Using Consensus Susceptibility and Consistency Measures<br/>for Inconsistent Knowl^ge Management<br/>Ngoc Thank Nguyen, Michal Malowiecki<br/>WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing<br/>Support Constraints<br/>Vnil Yun, John J. Leggett<br/>Machine Learning Methods<br/>A Framework for Incorporating Gass Priors into Discriminative<br/>Gassification<br/>Rang Jin, Yiliu<br/>Increasing Gassification Accuracy by Combining Adaptive Sampling<br/>and Convex Pseudo-Data<br/>Chia Huey Ooi, Madhu Chetty<br/>Kernels over Relational Algebra Structures<br/>Adam Woznica, Alexandras Kalousis, Melanie Hilario<br/>Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning<br/>Junping Zhang, Stan Z Li<br/>Maximizing Tree Diversity by Building Complete-Random Decision Trees<br/>Fei Tony Liu, Kai Ming Ting, Wei Fan<br/>SETRED: Self-training with Editing<br/>Ming LA, Zhi-Hua Zhou<br/>Adjusting Mixture Weights of Gaussian Mixture Model via<br/>Regularized Probabilistic Latent Semantic Analysis<br/>Imo Si, Rang Jin<br/>Training Support Vector Machines Using Greedy Stagewise Algorithm<br/>Liefeng Bo, Ling Wang, Licheng Jiao<br/>CI-GBI: A Novel Approach for Extracting Typical Patterns<br/>from Graph-Structured Data<br/>Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio<br/>Improved Bayesian Spam Filtering Based on Co-weighted<br/>Multi-area Information<br/>Raju Shrestha, Yaping Lin<br/>Novel Algorithms<br/>An Efficient Framework for Mining Flexible Constraints<br/>Amaud Soulet, Bruno Cremilleux<br/>Support Oriented Discovery of Generalized Disjunction-Free<br/>Representation of Frequent Patterns with Negation<br/>Marzena Kryszkiewicz, Katarzyna Cichon<br/>Feature Selection Algorithm for Data with Both Nominal<br/>and Continuous Features<br/>Wenyin Tang, Kezhi Mao<br/>A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets<br/>Ying Liu, Wei-keng Liao, Alok Choudhary<br/>On Multiple Query Optimization in Data Mining<br/>Marek Wojciechowski, Maciej Zakrzewicz<br/>USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection<br/>Zhuowei Li, Amitabha Das, Jianying Zhou<br/>Spatial Data<br/>Mining Mobile Group Patterns: A Trajectory-Based Approach<br/>San-Yih Hwang, Ying-Han Liu, Jeng-Kuen Chiu, Ee-Peng Lim<br/>Can We Apply Projection Based Frequent Pattern Mining Paradigm<br/>to Spatial Co-location Mining?<br/>Yan Huang, Liqin Zhang, Ping Yu<br/>PatZip: Pattern-Preserved Spatial Data Compression<br/>Yu Qian, Kang Zhang, D. T. Huynh<br/>Temporal Data<br/>A likelihood Ratio Distance Measure for the Similarity Between<br/>the Fourier Transform of Time Series<br/>Gareth J. Janacek, Anthony J. Bagnall, Michael Powell<br/>The TIMERS 11 Algorithm for the Discovery of Causality<br/>Howard J. Hamilton, Kamran Karimi<br/>A Recent-Based Dimension Reduction Technique for Time Series Data<br/>Yanchang Zhao, Chengqi Zhang, Shichao Zhang<br/>Graph Partition Model for Robust Temporal Data Segmentation<br/>Jinhui Yuan, Bo Zhang, Fuzong lin<br/>Accurate Symbolization of Time Series<br/>Xinqiang Zuo, Xiaoming Jin<br/>A Novel Bit Level Time Series Representation with Implication<br/>of Similarity Search and Clustering<br/>Chotirat Ratanamahatana, Eamonn Keogh, Anthony J, Bagnall,<br/>Strfano Lonardi<br/>Finding Temporal Features of Event-Oriented Patterns<br/>Xmgzhi Sun, Maria E. Orlowska, Xue Li.<br/>An Anomaly Detection Method for Spacecraft Using Relevance<br/>Vector Learning<br/>Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida<br/>Cyclic Pattern Kernels Revisited<br/>TamdsHorvdth ;<br/>Text and Web Data Mining<br/>Subspace Clustering of Text Documents with Feature Weighting<br/>K-Means Algorithm<br/>Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang<br/>Using Term Clustering and Supervised Term Affinity Construction<br/>to Boost Text Classification<br/>Chong Wang, Wenyuan Wang<br/>Technology Trends Analysis fi:om the Internet Resources<br/>Shin-ichi Kobayashi, Yasuyukx Shirai, Kazuo Hiyane, Fumihiro Kumeno,<br/>Hiroshi Inujima, Noriyoshi Yamauchi<br/>Dynamic Mining Hierarchical Topic from Web News Stream Data<br/>Using Divisive-Agglomerative Clustering Method<br/>Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le<br/>Collecting Topic-Related Web Pages for Link Structure Analysis<br/>by Using a Potential Hub and Authority First Approach<br/>Leuo-Hong Wang, Tong-Wen Lee<br/>A Top-Down Algorithm for Mining Web Access Patterns from Web Logs<br/>Jian-Kui Guo, Bet-jun Ruan, Zun-ping Cheng, Fang-zhong Su,<br/>Ya-qin Wang, Xu-bin Deng, Shang Ning, Yang-Yong Zhu<br/>Kernel Principal Component Analysis for Content Based Image Retrieval<br/>Guang-Ho Cha<br/>Mining Frequent Trees with Node-Inclusion Constraints<br/>Atsuyoshi Nakamura, Mineichi Kudo |
