9. KDD 2003: Washington, DC, USA

Invited talks

• Jim Gray:
  On-line science: the world-wide telescope as a prototype for the new computational science. 3
  
• Daphne Koller:
  Statistical learning from relational data. 4
  
• Andreas S. Weigend:
  Analyzing customer behavior at Amazon.com. 5
  

Research track

• Charu C. Aggarwal:
  Towards systematic design of distance functions for data mining applications. 9-18
  
• Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra:
  Generative model-based clustering of directional data. 19-28
  
• Stephen D. Bay, Mark Schwabacher:
  Mining distance-based outliers in near linear time with randomization and a simple pruning rule. 29-38
  
• Mikhail Bilenko, Raymond J. Mooney:
  Adaptive duplicate detection using learnable string similarity measures. 39-48
  
• Richard J. Bolton, Niall M. Adams:
  An iterative hypothesis-testing strategy for pattern discovery. 49-58
  
• Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann:
  Efficient data reduction with EASE. 59-68
  
• Alain Casali, Rosine Cicchetti, Lotfi Lakhal:
  Extracting semantics from data cubes using cube transversals and closures. 69-78
  
• Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth:
  Translation-invariant mixture models for curve clustering. 79-88
  
• Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha:
  Information-theoretic co-clustering. 89-98
  
• Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis:
  SEWeP: using site semantics and a taxonomy to enhance the Web personalization process. 99-108
  
• Mohammad El-Hajj, Osmar R. Zaïane:
  Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining. 109-118
  
• Oren Etzioni, Rattapoom Tuchinda, Craig A. Knoblock, Alexander Yates:
  To buy or not to buy: mining airfare data to minimize ticket purchase price. 119-128
  
• Aristides Gionis, Teija Kujala, Heikki Mannila:
  Fragments of order. 129-136
  
• David Kempe, Jon M. Kleinberg, Éva Tardos:
  Maximizing the spread of influence through a social network. 137-146
  
• Mehmet Koyutürk, Ananth Grama:
  PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets. 147-156
  
• Elias Pampalk, Werner Goebl, Gerhard Widmer:
  Visualizing changes in the structure of data for exploratory feature selection. 157-166
  
• Claudia Perlich, Foster J. Provost:
  Aggregation-based feature invention and relational concept classes. 167-176
  
• Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole:
  Cross-training: learning probabilistic mappings between topics. 177-186
  
• Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Yu:
  Generating English summaries of time series data using the Gricean maxims. 187-196
  
• Jeremy Tantrum, Alejandro Murua, Werner Stuetzle:
  Assessment and pruning of hierarchical model based clustering. 197-205
  
• Jaideep Vaidya, Chris Clifton:
  Privacy-preserving k-means clustering over vertically partitioned data. 206-215
  
• Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh:
  Indexing multi-dimensional time-series with support for multiple distance measures. 216-225
  
• Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han:
  Mining concept-drifting data streams using ensemble classifiers. 226-235
  
• Jianyong Wang, Jiawei Han, Jian Pei:
  CLOSET+: searching for the best strategies for mining frequent closed itemsets. 236-245
  
• Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan:
  Mining unexpected rules by pushing user dynamics. 246-255
  
• Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands:
  On detecting differences between groups. 256-265
  
• Scott White, Padhraic Smyth:
  Algorithms for estimating relative importance in networks. 266-275
  
• Xintao Wu, Daniel Barbará, Yong Ye:
  Screening and interpreting multi-item associations based on log-linear modeling. 276-285
  
• Xifeng Yan, Jiawei Han:
  CloseGraph: mining closed frequent graph patterns. 286-295
  
• Lan Yi, Bing Liu, Xiaoli Li:
  Eliminating noisy information in Web pages for data mining. 296-305
  
• Hwanjo Yu, Jiong Yang, Jiawei Han:
  Classifying large data sets using SVMs with hierarchical clusters. 306-315
  
• Mohammed Javeed Zaki, Charu C. Aggarwal:
  XRules: an effective structural classifier for XML data. 316-325
  
• Mohammed Javeed Zaki, Karam Gouda:
  Fast vertical mining using diffsets. 326-335
  
• Yunyue Zhu, Dennis Shasha:
  Efficient elastic burst detection in data streams. 336-345
  

Industrial/government track

• Kamal Ali, Steven P. Ketchpel:
  Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams. 349-358
  
• David M. Fram, June S. Almenoff, William DuMouchel:
  Empirical Bayesian data mining for discovering patterns in post-marketing drug safety. 359-368
  
• Tu Bao Ho, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, DucDung Nguyen, Hideto Yokoi, Katsuhiko Takabayashi:
  Mining hepatitis data with temporal abstraction. 369-377
  
• David Jensen, Matthew J. Rattigan, Hannah Blau:
  Information awareness: a prospective technical assessment. 378-387
  
• Mark Last, Menahem Friedman, Abraham Kandel:
  The data mining approach to automated software testing. 388-396
  
• Richard D. Lawrence, Se June Hong, Jacques Cherrier:
  Passenger-based predictive modeling of airline no-show rates. 397-406
  
• Gregory Piatetsky-Shapiro, Tom Khabaza, Sridhar Ramaswamy:
  Capturing best practice for microarray gene expression data analysis. 407-415
  
• R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Harsha Rao:
  Clinical and financial outcomes analysis with existing hospital patient records. 416-425
  
• Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam:
  Critical event prediction for proactive management in large-scale computer clusters. 426-435
  
• Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman:
  Frequent-subsequence-based prediction of outer membrane proteins. 436-445
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter:
  Discovery of climate indices using clustering. 446-455
  
• Sholom M. Weiss, Stephen J. Buckley, Shubir Kapoor, Søren Damgaard:
  Knowledge-based data mining. 456-461
  
• Yi-Leh Wu, Kingshy Goh, Beitao Li, Huaxin You, Edward Y. Chang:
  The anatomy of a multimodal information filter. 462-471
  

Research track

• Shlomo Argamon, Marin Saric, Sterling Stuart Stein:
  Style mining of electronic messages for multiple authorship discrimination: first results. 475-480
  
• Raj Bhatnagar, Goutham Kurra, Wen Niu:
  Mining high dimensional data for classifier knowledge. 481-486
  
• Joong Hyuk Chang, Won Suk Lee:
  Finding recent frequent itemsets adaptively over online data streams. 487-492
  
• Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonardi:
  Probabilistic discovery of time series motifs. 493-498
  
• William W. Cohen, Richard C. Wang, Robert F. Murphy:
  Understanding captions in biomedical publications. 499-504
  
• Wenliang Du, Zhijun Zhan:
  Using randomized response techniques for privacy-preserving data mining. 505-510
  
• William DuMouchel, Deepak K. Agarwal:
  Applications of sampling and fractional factorial designs to model-free data squashing. 511-516
  
• Dmitriy Fradkin, David Madigan:
  Experiments with random projections for machine learning. 517-522
  
• João Gama, Ricardo Rocha, Pedro Medas:
  Accurate decision trees for mining high-speed data streams. 523-528
  
• Sudipto Guha, Dimitrios Gunopulos, Nick Koudas:
  Correlating synchronous and asynchronous data streams. 529-534
  
• Sule Gündüz, M. Tamer Özsu:
  A Web page prediction model based on click-stream tree representation of user behavior. 535-540
  
• John E. Hopcroft, Omar Khan, Brian Kulis, Bart Selman:
  Natural communities in large linked networks. 541-546
  
• Michael E. Houle:
  Navigating massive data sets via local clustering. 547-552
  
• Wynne Hsu, Jing Dai, Mong-Li Lee:
  Mining viewpoint patterns in image databases. 553-558
  
• Chris Jermaine:
  Playing hide-and-seek with correlations. 559-564
  
• Daxin Jiang, Jian Pei, Aidong Zhang:
  Interactive exploration of coherent patterns in time-series gene expression data. 565-570
  
• Ruoming Jin, Gagan Agrawal:
  Efficient decision tree construction on streaming data. 571-576
  
• Sachindra Joshi, Neeraj Agrawal, Raghu Krishnapuram, Sumit Negi:
  A bag of paths model for measuring structural similarity in Web documents. 577-582
  
• Toshihiro Kamishima:
  Nantonac collaborative filtering: recommendation based on order responses. 583-588
  
• Yehuda Koren, David Harel:
  A two-way visualization method for clustered data. 589-594
  
• Kelvin T. Leung, Douglas Stott Parker Jr.:
  Empirical comparisons of various voting methods in bagging. 595-600
  
• Bing Liu, Robert L. Grossman, Yanhong Zhai:
  Mining data records in Web pages. 601-606
  
• Guimei Liu, Hongjun Lu, Wenwu Lou, Jeffrey Xu Yu:
  On computing, storing and querying frequent patterns. 607-612
  
• Junshui Ma, Simon Perkins:
  Online novelty detection on temporal sequences. 613-618
  
• Satoshi Morinaga, Kenji Yamanishi, Jun-ichi Takeuchi:
  Distributed cooperative mining for information consortia. 619-624
  
• Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay:
  Learning relational probability trees. 625-630
  
• Caleb C. Noble, Diane J. Cook:
  Graph-based anomaly detection. 631-636
  
• Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed Javeed Zaki:
  Carpenter: finding closed patterns in long biological datasets. 637-642
  
• William Peter, John Chiochetti, Clare Giardina:
  New unsupervised clustering algorithm for large datasets. 643-648
  
• Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K. Szymanski, Christopher D. Carothers:
  Improving spatial locality of programs via data mining. 649-654
  
• Chun Tang, Aidong Zhang, Jian Pei:
  Mining phenotypes and informative genes from gene expression data. 655-660
  
• Feng Tao, Fionn Murtagh, Mohsen M. Farid:
  Weighted Association Rule Mining using weighted support and significance framework. 661-666
  
• Soon Tee Teoh, Kwan-Liu Ma:
  PaintingClass: interactive construction, visualization and exploration of decision trees. 667-672
  
• Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov:
  Time and sample efficient discovery of Markov blankets and direct causal relations. 673-678
  
• Hang Yu, Ee-Chien Chang:
  Distributed multivariate regression based on influential observations. 679-684
  
• Lei Yu, Huan Liu:
  Efficiently handling feature redundancy in high-dimensional data. 685-690
  

Industrial/government track

• Rafael Alonso, Jeffrey A. Bloom, Hua Li, Chumki Basu:
  An adaptive nearest neighbor search for a parts acquisition ePortal. 693-698
  
• Philip S. Barry, Jianping Zhang, Mary McDonald:
  Architecting a knowledge discovery engine for military commanders utilizing massive runs of simulations. 699-704
  
• Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright:
  Data quality through knowledge engineering. 705-710
  
• Gloria T. Lau, Kincho H. Law, Gio Wiederhold:
  Similarity analysis on government regulations. 711-716
  
• Uwe F. Mayer, Armand Sarkissian:
  Experimental design for solicitation campaigns. 717-722
  
• Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda:
  Towards NIC-based intrusion detection. 723-728
  
• Chang-Shing Perng, David Thoenen, Genady Grabarnik, Sheng Ma, Joseph L. Hellerstein:
  Data-driven validation, completion and construction of event relationship networks. 729-734
  
• Kevin B. Pratt, Gleb Tschapek:
  Visualizing concept drift. 735-740
  
• Keiko Shimazu, Atsuhito Momma, Koichi Furukawa:
  Experimental study of discovering essential information from customer inquiry. 741-746
  
• Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu:
  Applying data mining in investigating money laundering crimes. 747-752
  

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