SIGKDD03 - Research Track Finding recent frequent itemsets adaptively over online data streams Joong Hyuk Chang Won Suk Lee Generating English summaries of time series data using the Gricean maxims Somayajulu Sripada Ehud Reiter Jim Hunter Jin Yu Mining unexpected rules by pushing user dynamics Ke Wang Yuelong Jiang Laks V. S. Lakshmanan Accurate decision trees for mining high-speed data streams Joao Gama Ricardo Rocha Pedro Medas Nantonac collaborative filtering: recommendation based on order responses Toshihiro Kamishima Improving spatial locality of programs via data mining Karlton Sequeira Mohammed Javeed Zaki Boleslaw K. Szymanski Christopher D. Carothers Distributed multivariate regression based on influential observations Hang Yu Ee-Chien Chang Graph-based anomaly detection Caleb C. Noble Diane J. Cook Screening and interpreting multi-item associations based on log-linear modeling Xintao Wu Daniel Barbará Yong Ye Maximizing the spread of influence through a social network David Kempe Jon M. Kleinberg Éva Tardos Navigating massive data sets via local clustering Michael E. Houle Mining concept-drifting data streams using ensemble classifiers Haixun Wang Wei Fan Philip S. Yu Jiawei Han CLOSET+: searching for the best strategies for mining frequent closed itemsets Jianyong Wang Jiawei Han Jian Pei Applications of sampling and fractional factorial designs to model-free data squashing William DuMouchel Deepak K. Agarwal Towards systematic design of distance functions for data mining applications Charu C. Aggarwal Mining phenotypes and informative genes from gene expression data Chun Tang Aidong Zhang Jian Pei Cross-training: learning probabilistic mappings between topics Sunita Sarawagi Soumen Chakrabarti Shantanu Godbole Mining data records in Web pages Bing Liu Robert L. Grossman Yanhong Zhai Privacy-preserving k-means clustering over vertically partitioned data Jaideep Vaidya Chris Clifton PaintingClass: interactive construction, visualization and exploration of decision trees Soon Tee Teoh Kwan-Liu Ma Aggregation-based feature invention and relational concept classes Claudia Perlich Foster J. Provost Natural communities in large linked networks John E. Hopcroft Omar Khan Brian Kulis Bart Selman Efficient data reduction with EASE Hervé Brönnimann Bin Chen Manoranjan Dash Peter J. Haas Peter Scheuermann Playing hide-and-seek with correlations Chris Jermaine Generative model-based clustering of directional data Arindam Banerjee Inderjit Dhillon Joydeep Ghosh Suvrit Sra PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets Mehmet Koyutürk Ananth Grama Understanding captions in biomedical publications William W. Cohen Richard Wang Robert F. Murphy Mining high dimensional data for classifier knowledge Raj Bhatnagar Goutham Kurra Wen Niu Mining viewpoint patterns in image databases Wynne Hsu Jing Dai Mong-Li Lee A Web page prediction model based on click-stream tree representation of user behavior Sule Gündüz M. Tamer Özsu Visualizing changes in the structure of data for exploratory feature selection Elias Pampalk Werner Goebl Gerhard Widmer Style mining of electronic messages for multiple authorship discrimination: first results Shlomo Argamon Marin Saric Sterling S. Stein Fragments of order Aristides Gionis Teija Kujala Heikki Mannila Indexing multi-dimensional time-series with support for multiple distance measures Michail Vlachos Marios Hadjieleftheriou Dimitrios Gunopulos Eamonn J. Keogh Translation-invariant mixture models for curve clustering Darya Chudova Scott Gaffney Eric Mjolsness Padhraic Smyth Interactive exploration of coherent patterns in time-series gene expression data Daxin Jiang Jian Pei Aidong Zhang CloseGraph: mining closed frequent graph patterns Xifeng Yan Jiawei Han On computing, storing and querying frequent patterns Guimei Liu Hongjun Lu Wenwu Lou Jeffrey Xu Yu Learning relational probability trees Jennifer Neville David Jensen Lisa Friedland Michael Hay An iterative hypothesis-testing strategy for pattern discovery Richard J. Bolton Niall M. Adams XRules: an effective structural classifier for XML data Mohammed Javeed Zaki Charu C. Aggarwal Eliminating noisy information in Web pages for data mining Lan Yi Bing Liu Xiaoli Information-theoretic co-clustering Inderjit S. Dhillon Subramanyam Mallela Dharmendra S. Modha Efficiently handling feature redundancy in high-dimensional data Lei Yu Huan Liu Efficient decision tree construction on streaming data Ruoming Jin Gagan Agrawal Distributed cooperative mining for information consortia Satoshi Morinaga Kenji Yamanishi Jun-ichi Takeuchi SEWeP: using site semantics and a taxonomy to enhance the Web personalization process Magdalini Eirinaki Michalis Vazirgiannis Iraklis Varlamis To buy or not to buy: mining airfare data to minimize ticket purchase price Oren Etzioni Rattapoom Tuchinda Craig A. Knoblock Alexander Yates Weighted Association Rule Mining using weighted support and significance framework Feng Tao Fionn Murtagh Mohsen Farid Using randomized response techniques for privacy-preserving data mining Wenliang Du Zhijun Zhan Probabilistic discovery of time series motifs Bill Yuan-chi Chiu Eamonn J. Keogh Stefano Lonardi Correlating synchronous and asynchronous data streams Sudipto Guha Dimitrios Gunopulos Nick Koudas Classifying large data sets using SVMs with hierarchical clusters Hwanjo Yu Jiong Yang Jiawei Han Time and sample efficient discovery of Markov blankets and direct causal relations Ioannis Tsamardinos Constantin F. Aliferis Alexander R. Statnikov Adaptive duplicate detection using learnable string similarity measures Mikhail Bilenko Raymond J. Mooney Efficient elastic burst detection in data streams Yunyue Zhu Dennis Shasha Algorithms for estimating relative importance in networks Scott White Padhraic Smyth Empirical comparisons of various voting methods in bagging Kelvin T. Leung Douglas Stott Parker Jr A bag of paths model for measuring structural similarity in Web documents Sachindra Joshi Neeraj Agrawal Raghu Krishnapuram Sumit Negi Assessment and pruning of hierarchical model based clustering Jeremy Tantrum Alejandro Murua Werner Stuetzle Fast vertical mining using diffsets Mohammed Javeed Zaki Karam Gouda Online novelty detection on temporal sequences Junshui Ma Simon Perkins Extracting semantics from data cubes using cube transversals and closures Alain Casali Rosine Cicchetti Lotfi Lakhal Experiments with random projections for machine learning Dmitriy Fradkin David Madigan Mining distance-based outliers in near linear time with randomization and a simple pruning rule Stephen D. Bay Mark Schwabacher On detecting differences between groups Geoffrey I. Webb Shane M. Butler Douglas A. Newlands Carpenter: finding closed patterns in long biological datasets Feng Pan Gao Cong Anthony K. H. Tung Jiong Yang Mohammed Javeed Zaki Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining Mohammad El-Hajj Osmar R. Zaďane A two-way visualization method for clustered data Yehuda Koren David Harel Return to SIGKDD03 session listing ©2004 Association for Computing Machinery