6. KDD 2000: Boston, MA, USA

• Christos H. Papadimitriou:
  On certain rigorous approaches to data mining (invited talk, abstract only). 2
  
• Bruce G. Buchanan:
  Informed knowledge discovery: using prior knowledge in discovery programs (invited talk, abstract only). 3
  
• Jason Catlett:
  Among those dark electronic mills: privacy and data mining (invited talk, abstract only). 4
  
• James Goodnight:
  Decision support in the booming e-world (invited talk, abstract only). 5
  
• Matt Cutler:
  E-metrics: tomorrow's business metrics today (invited talk, abstract only). 6
  
• David Stodder:
  After the gold rush (invited talk, abstract only): data mining in the new economy (invited talk, abstract only). 7
  
• Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers:
  Hancock: a language for extracting signatures from data streams. 9-17
  
• Tony Fountain, Thomas G. Dietterich, Bill Sudyka:
  Mining IC test data to optimize VLSI testing. 18-25
  

Constraints and Evaluation in the KDD Process

• Douglas A. Talbert, Douglas H. Fisher:
  An empirical analysis of techniques for constructing and searching k-dimensional trees. 26-33
  
• Mohammed Javeed Zaki:
  Generating non-redundant association rules. 34-43
  
• Ted E. Senator:
  Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation's Advanced Detection System (RADS). 44-53
  
• Balaji Padmanabhan, Alexander Tuzhilin:
  Small is beautiful: discovering the minimal set of unexpected patterns. 54-63
  

New KDD Algorithms

• Glenn Fung, Olvi L. Mangasarian:
  Data selection for support vector machine classifiers. 64-70
  
• Pedro Domingos, Geoff Hulten:
  Mining high-speed data streams. 71-80
  
• Xianping Ge, Padhraic Smyth:
  Deformable Markov model templates for time-series pattern matching. 81-90
  
• Vijay S. Iyengar, Chidanand Apté, Tong Zhang:
  Active learning using adaptive resampling. 91-98
  

Efficiency and Scalability of KDD Algorithms

• Geoffrey I. Webb:
  Efficient search for association rules. 99-107
  
• Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad:
  Depth first generation of long patterns. 108-118
  
• Charu C. Aggarwal, Philip S. Yu:
  The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. 119-129
  
• Volker Tresp:
  The generalized Bayesian committee machine. 130-139
  

Mining the Web

• Igor V. Cadez, Scott Gaffney, Padhraic Smyth:
  A general probabilistic framework for clustering individuals and objects. 140-149
  
• Gary William Flake, Steve Lawrence, C. Lee Giles:
  Efficient identification of Web communities. 150-160
  
• Heikki Mannila, Christopher Meek:
  Global partial orders from sequential data. 161-168
  
• Andrew McCallum, Kamal Nigam, Lyle H. Ungar:
  Efficient clustering of high-dimensional data sets with application to reference matching. 169-178
  

Interactive Knowledge Exploration

• Mihael Ankerst, Martin Ester, Hans-Peter Kriegel:
  Towards an effective cooperation of the user and the computer for classification. 179-188
  
• Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Yonatan Schler, Jonathan Stoppi:
  A framework for specifying explicit bias for revision of approximate information extraction rules. 189-197
  
• Chris Drummond, Robert C. Holte:
  Explicitly representing expected cost: an alternative to ROC representation. 198-207
  
• Bing Liu, Minqing Hu, Wynne Hsu:
  Multi-level organization and summarization of the discovered rules. 208-217
  

Visualization

• Andrew W. Crapo, Laurie B. Waisel, William A. Wallace, Thomas R. Willemain:
  Visualization and the process of modeling: a cognitive-theoretic view. 218-226
  
• Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm:
  Visualizing association rules with interactive mosaic plots. 227-235
  
• Li Yang:
  Interactive exploration of very large relational datasets through 3D dynamic projections. 236-243
  
• Jianchao Han, Nick Cercone:
  RuleViz: a model for visualizing knowledge discovery process. 244-253
  

• William W. Cohen, Henry A. Kautz, David A. McAllester:
  Hardening soft information sources. 255-259
  
• Daniel Barbará, Ping Chen:
  Using the fractal dimension to cluster datasets. 260-264
  
• Ke Wang, Senqiang Zhou, Yu He:
  Growing decision trees on support-less association rules. 265-269
  
• Wei Wang, Jiong Yang, Philip S. Yu:
  Efficient mining of weighted association rules (WAR). 270-274
  
• Jiong Yang, Wei Wang, Philip S. Yu:
  Mining asynchronous periodic patterns in time series data. 275-279
  
• Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White:
  Visualization of navigation patterns on a Web site using model-based clustering. 280-284
  
• Eamonn J. Keogh, Michael J. Pazzani:
  Scaling up dynamic time warping for datamining applications. 285-289
  
• Mong-Li Lee, Tok Wang Ling, Wai Lup Low:
  IntelliClean: a knowledge-based intelligent data cleaner. 290-294
  
• Dmitry Pavlov, Darya Chudova, Padhraic Smyth:
  Towards scalable support vector machines using squashing. 295-299
  
• Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
  A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. 300-304
  
• Jason Tsong-Li Wang, Qicheng Ma, Dennis Shasha, Cathy H. Wu:
  Application of neural networks to biological data mining: a case study in protein sequence classification. 305-309
  
• Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao:
  Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets. 310-314
  
• Stephen D. Bay:
  Multivariate discretization of continuous variables for set mining. 315-319
  
• Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne:
  On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. 320-324
  
• Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri:
  Unsupervised Bayesian visualization of high-dimensional data. 325-329
  
• Tobias Scheffer, Stefan Wrobel:
  A sequential sampling algorithm for a general class of utility criteria. 330-334
  
• Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim:
  Efficient algorithms for constructing decision trees with constraints. 335-339
  
• Jeonghee Yi, Neel Sundaresan:
  A classifier for semi-structured documents. 340-344
  
• Dennis DeCoste, Kiri Wagstaff:
  Alpha seeding for support vector machines. 345-349
  
• Jian Pei, Jiawei Han:
  Can we push more constraints into frequent pattern mining? 350-354
  
• Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
  FreeSpan: frequent pattern-projected sequential pattern mining. 355-359
  
• Jennifer G. Dy, Carla E. Brodley:
  Visualization and interactive feature selection for unsupervised data. 360-364
  
• YongSeog Kim, W. Nick Street, Filippo Menczer:
  Feature selection in unsupervised learning via evolutionary search. 365-369
  
• Alfred Inselberg, Tova Avidan:
  Classification and visualization for high-dimensional data. 370-374
  

Applications

• Mike Gardner, Jack Bieker:
  Data mining solves tough semiconductor manufacturing problems. 376-383
  
• Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe:
  Genome scale prediction of protein functional class from sequence using data mining. 384-389
  
• José Manuel Peña, Fazel Famili, Sylvain Létourneau:
  Data mining to detect abnormal behavior in aerospace data. 390-397
  
• Wendy Gersten, Rüdiger Wirth, Dirk Arndt:
  Predictive modeling in automotive direct marketing: tools, experiences and open issues. 398-406
  

Text Mining and Data Preparation

• Doug Beeferman, Adam L. Berger:
  Agglomerative clustering of a search engine query log. 407-416
  
• Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman:
  Textual data mining of service center call records. 417-423
  
• Jonathan D. Becher, Pavel Berkhin, Edmund Freeman:
  Automating exploratory data analysis for efficient data mining. 424-429
  
• Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling:
  Exploration mining in diabetic patients databases: findings and conclusions. 430-436
  

Targeting Prospects

• Brendan Kitts, David Freed, Martin Vrieze:
  Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities. 437-446
  
• Paul B. Chou, Edna Grossman, Dimitrios Gunopulos, Pasumarti Kamesam:
  Identifying prospective customers. 447-456
  
• Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee:
  Targeting the right students using data mining. 457-464
  
• Siddhartha Bhattacharyya:
  Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing. 465-473
  

E-Commerce and Temporal Data

• Ayman Farahat:
  Hybrid Poisson process. 474-479
  
• Anjali Dhond, Amar Gupta, Sanjeev Vadhavkar:
  Data mining techniques for optimizing inventories for electronic commerce. 480-486
  
• Martin Gavrilov, Dragomir Anguelov, Piotr Indyk, Rajeev Motwani:
  Mining the stock market (extended abstract): which measure is best? 487-496
  
• Juan Pedro Caraça-Valente, Ignacio Lopez-Chavarrias:
  Discovering similar patterns in time series. 497-505
  

Telephony/ISP Applications

• Nandini Raghavan, Robert M. Bell, Matthias Schonlau:
  Defection detection: using activity profiles to predict ISP customer vulnerability. 506-515
  
• Fei Chen, Diane Lambert, José C. Pinheiro:
  Incremental quantile estimation for massive tracking. 516-522
  

• Rónán Páircéir, Sally I. McClean, Bryan W. Scotney:
  Discovery of multi-level rules and exceptions from a distributed database. 523-532
  
• Ron Kohavi, Myra Spiliopoulou, Jaideep Srivastava:
  Web mining for e-commerce (workshop session - title only). 534
  
• Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic:
  Distributed and parallel knowledge discovery (workshop session - title only). 534
  
• Simeon J. Simoff, Osmar R. Zaïane:
  Multimedia data mining (workshop session - title only). 534
  
• Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
  Text mining (workshop session - title only). 534
  

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