ICDM - Posters Discovering Similar Patterns for Characterising Time Series in a Medical Domain Fernando Alonso Juan Pedro Caraça-Valente Loïc Martínez César Montes Creating Ensembles of Classifiers Nitesh Chawla Steven Eschrich Lawrence O. Hall Association Rules Enhanced Classification of Underwater Acoustic Signal Jie Chen Haiying Li Shiwei Tang Efficient Splitting Rules Based on the Probabilities of Pre-assigned Intervals June-Suh Cho Nabil R. Adam Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data Honghua Dai Xiaoshu Hang Gang Li Incremental Support Vector Machine Construction Carlotta Domeniconi Dimitrios Gunopulo Mining Generalized Association Rules for Sequential and Path Data Wolfgang Gaul Lars Schmidt-Thieme Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories Rayid Ghani Dependency Derivation in Industrial Process Data Daniel Gillblad Anders Holst Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints Sherri K. Harms Jitender S. Deogun Jamil Saquer Tsegaye Tadesse Text Clustering Based on Good Aggregations Andreas Hotho Alexander Maedche Steffen Staab Ad Hoc Association Rule Mining as SQL3 Queries Hasan M. Jamil Heuristic Optimization for Decentralized Frequent Itemset Counting Viviane Crestana-Jensen Nandit Soparkar Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric Gang Li Fu Tong Honghua Dai Applications of Data Mining in Hydrology Xu Liang Yao Liang RPCL-Based Local PCA Algorithm Zhiyong Liu Lei Xu Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines M. Maragoudakis K. Kermanidis Nikos Fakotakis George K. Kokkinakis Bayesian Data Mining on the Web with B-Course Petri Myllymäki Tomi Silander Henry Tirri Pekka Uronen An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization Tadashi Nomoto Yuji Matsumoto A Fast Algorithm to Cluster High Dimensional Basket Data Carlos Ordonez Edward Omiecinski Norberto Ezquerra Metric Rule Generation with Septic Shock Patient Data Jürgen Paetz The Representative Basis for Association Rules V. Phan-Luong Incremental Learning with Support Vector Machines Stefan Rüping A Clustering Method for Very Large Mixed Data Sets Guillermo Sánchez-Díaz José Ruiz-Shulcloper Mining the Web with Active Hidden Markov Models Tobias Scheffer Christian Decomain Stefan Wrobel A Simple KNN Algorithm for Text Categorization Pascal Soucy Guy W. Mineau Measuring Real-Time Predictive Models Sam Steingold Richard Wherry Gregory Piatetsky-Shapiro Incremental Learning of Bayesian Networks with Hidden Variables Fengzhan Tian Hongwei Zhong Yuchang Lu Chunyi Shi Mining Frequent Closed Itemsets with the Frequent Pattern List Fan-Chen Tseng Ching-Chi Hsu Henry Chen Classification through Maximizing Density Hui Wang Ivo Düntsch David A. Bell Dayou Liu An Immune Neural Network Used for Classification Lei Wang Licheng Jiao alpha-Surface and Its Application to Mining Protein Data Xiong Wang An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns Show-Jane Yen Yue-Shi Lee Fast Parallel Association Rule Mining without Candidacy Generation Osmar R. Zaïane Mohammad El-Hajj Paul Lu A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods Bernard Zenko Ljupco Todorovski Saso Dzeroski Mining California Vital Statistics Data Du Zhang Quoc Luan Ha Meiliu Lu A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets Qinghua Zou Wesley W. Chu David Johnson Henry Chiu Return to ICDM session listing DiSC'02 © 2003 Association for Computing Machinery