Advances in knowledge discovery and data mining : 7th Pacific-Asia Conference, PAKDD 2003, Seoul. Korea, April 30-May 2, 2003 : proceedings - Pacific-Asia Conference on Knowledge Discovery and Data Mining 2003 : Seoul, Korea); Whang, Kyu-Young. (New York : Springer, 2003)
Data Mining as an Automated Service / P. S. Bradley -- Trends and Challenges in the Industrial Applications of KDD / Ramasamy Uthurusamy -- Finding Event-Oriented Patterns in Long Temporal Sequences / Xingzhi Sun, Maria E. Orlowska and Xiaofang Zhou -- Mining Frequent Episodes for Relating Financial Events and Stock Trends / Anny Ng and Ada Wai-chee Fu -- An Efficient Algorithm of Frequent Connected Subgraph Extraction / Minghsheng Hong, Haofeng Zhou, Wei Wang and Baile Shi -- Classifier Construction by Graph-Based Induction for Graph-Structured Data / Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio -- Comparison of the Performance of Center-Based Clustering Algorithms / Bin Zhang -- Automatic Extraction of Clusters from Hierarchical Clustering Representations / Jorg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu and Alex Kovarsky -- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information / Seong-Bae Park and Byoung-Tak Zhang -- Extracting Shared Topics of Multiple Documents / Xiang Ji and Hongyuan Zha -- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition / Yu-Seop Kim, Jeong-Ho Chang and Byoung-Tak Zhang -- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data / Tianhao Wu and William M. Pottenger -- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules / Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim Hoffmann, Johanna Westbrook and Tatjana Zrimec -- Predicting Protein Structural Class from Closed Protein Sequences / N. Rattanakronkul, T. Wattarujeekrit and K. Waiyamai -- Learning Rules to Extract Protein Interactions from Biomedical Text / Tu Minh Phuong, Doheon Lee and Kwang Hyung Lee -- Predicting Protein Interactions in Human by Homologous Interactions in Yeast / Hyongguen Kim, Jong Park and Kyungsook Han -- Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation / Yi-Dong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu -- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules / Edmond H. Wu and Michael K. Ng -- A Markovian Approach for Web User Profiling and Clustering / Younes Hafri, Chabane Djeraba, Peter Stanchev and Bruno Bachimont -- Extracting User Interests from Bookmarks on the Web / Jason J. Jung and Geun-Sik Jo -- Mining Frequent Instances on Workflows / Gianluigi Greco, Antonella Guzzo, Giuseppe Manco and Domenico Sacca -- Real Time Video Data Mining for Surveillance Video Streams / JungHwan Oh, JeongKyu Lee and Sanjaykumar Kote -- Distinguishing Causal and Acausal Temporal Relations / Kamran Karimi and Howard J. Hamilton -- Online Bayes Point Machines / Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John Platt and Robert C. Williamson -- Exploiting Hierarchical Domain Values for Bayesian Learning / Yiqiu Han and Wai Lam -- A New Restricted Bayesian Network Classifier / Hongbo Shi, Zhihai Wang, Geoff Webb and Houkuan Huang -- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets / Zhao Yanchang and Song Junde -- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus / Ickjai Lee and Mary-Anne Williams -- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data / Jae-Woo Chang -- Enhancing SWF for Incremental Association Mining by Itemset Maintenance / Chia-Hui Chang and Shi-Hsan Yang -- Reducing Rule Covers with Deterministic Error Bounds / Vikram Pudi and Jayant R. Haritsa -- Evolutionary Approach for Mining Association Rules on Dynamic Databases / P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal and L. M. Patnaik -- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining / Yi Lu and C. I. Ezeife -- An Integrated System of Mining HTML Texts and Filtering Structured Documents / Bo-Hyun Yun, Myung-Eun Lim and Soo-Hyun Park -- A New Sequential Mining Approach to XML Document Similarity Computation / Ho-pong Leung, Fu-lai Chung and Stephen Chi-fai Chan -- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm / Myung Won Kim, Joung Woo Ryu, Samkeun Kim and Joong Geun Lee -- Fast Pattern Selection for Support Vector Classifiers / Hyunjung Shin and Sungzoon Cho -- Averaged Boosting: A Noise-Robust Ensemble Method / Yongdai Kim -- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule / Chen-zhou Ye, Jie Yang, Li-xiu Yao and Nian-yi Chen -- HOT: Hypergraph-Based Outlier Test for Categorical Data / Li Wei, Weining Qian, Aoying Zhou, Wen Jin and Jeffrey X. Yu -- A Method for Aggregating Partitions. Applications in K.D.D. / Pierre-Emmanuel Jouve and Nicolas Nicoloyannis -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding / Pauline L. H. Chou and Xiuzhen Zhang -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data / Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi and Hiroaki Ueda -- Step-By-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube / Chao Liu, Ming Zhang, Minrui Zheng and Yixin Chen -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining / Chang-Hung Lee, Jian Chih Ou and Ming-Syan Chen -- Mining Open Source Software (OSS) Data Using Association Rules Network / Sanjay Chawla, Bavani Arunasalam and Joseph Davis -- Parallel FP-Growth on PC Cluster / Iko Pramudiono and Masaru Kitsuregawa -- Active Feature Selection Using Classes / Huan Liu, Lei Yu, Manoranjan Dash and Hiroshi Motoda -- Electricity Based External Similarity of Categorical Attributes / Christopher R. Palmer and Christos Faloutsos -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers / Ying Yang and Geoffrey I. Webb -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach / Shoji Hirano and Shusaku Tsumoto -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting / Zhigang Li, Liangang Liu and Margaret H. Dunham -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach / Pusheng Zhang, Yan Huang, Shashi Shekhar and Vipin Kumar -- When to Update the Sequential Patterns of Stream Data? / Qingguo Zheng, Ke Xu and Shilong Ma -- A New Clustering Algorithm for Transaction Data via Caucus / Jinmei Xu, Hui Xiong, Sam Yuan Sung and Vipin Kumar -- DBRS: A Density-Based Spatial Clustering Method with Random Sampling / Xin Wang and Howard J. Hamilton -- Optimized Clustering for Anomaly Intrusion Detection / Sang Hyun Oh and Won Suk Lee -- Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression / Yuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara and Yasuaki Nakamura -- Upgrading ILP Rules to First-Order Bayesian Networks / Ratthachat Chatpatanasiri and Boonserm Kijsirikul -- A Clustering Validity Assessment Index / Youngok Kim and Soowon Lee.
Includes bibliographical references and index.
Also available via the World Wide Web.
Keywords: Database management -- Congresses; Database searching -- Congresses; Data mining -- Congresses