Kdd-2001: Proceedings of the Seventh Acm Sigkdd International Conference on Knowledge Discovery and Data Mining August 26-29, 2001 San Francisco, Ca, USA Book

	Challenges for Knowledge Discovery in Biology	2
	Extracting Targeted Data from the Web	3
	Mass Collaboration and Data Mining	4
	Applications of Generalized Support Vector Machines to Predictive Modeling	6
	Data Mining: Are We There Yet?	7
	Mining E-Commerce Data: The Good, the Bad, and the Ugly	8
	Data Mining Platform for Database Developers	14
	Recommender Systems in Commerce and Community	15
	The "DGX" Distribution for Mining Massive Skewed Data	17
	Data Mining Criteria for Tree-Based Regression and Classification	27
	Probabilistic Modeling of Transaction Data with Applications to Profiling, Visualization, and Prediction	37
	GESS: A Scalable Similarity-Join Algorithm for Mining Large Data Sets in High Dimensional Spaces	47
	Mining the Network Value of Customers	57
	Empirical Bayes Screening for Multi-item Associations	67
	Proximal Support Vector Machine Classifiers	77
	Data Mining with Sparse Grids Using Simplicial Basis Functions	87
	Mining Time-Changing Data Streams	97
	Visualizing Multi-dimensional Clusters, Trends, and Outliers Using Star Coordinates	107
	Ensemble-Index: A New Approach to Indexing Large Databases	117
	Robust Space Transformations for Distance-based Operations	126
	Molecular Feature Mining in HIV Data	136
	Discovering Unexpected Information from Your Competitors' Web Sites	144
	Personalization from Incomplete Data: What You Don't Know Can Hurt	154
	Probabilistic Query Models for Transaction Data	164
	Extracting Collective Probabilistic Forecasts from Web Games	174
	Tri-Plots: Scalable Tools for Multidimensional Data Mining	184
	Efficient Discovery of Error-Tolerant Frequent Itemsets in High Dimensions	194
	Learning and Making Decisions When Costs and Probabilities are Both Unknown	204
	Data Mining Case Study: Modeling the Behavior of Offenders Who Commit Serious Sexual Assaults	215
	A Human-Computer Cooperative System for Effective High Dimensional Clustering	221
	Mining Massively Incomplete Data Sets by Conceptual Reconstruction	227
	Evaluating the Novelty of Text-Mined Rules Using Lexical Knowledge	233
	Fast Ordering of Large Categorical Datasets for Better Visualization	239
	Random Projection in Dimensionality Reduction: Application to Image and Text Data	245
	Gaining Insights into Support Vector Machine Pattern Classifiers Using Projection-Based Tour Methods	251
	PVA: A Self-Adaptive Personal View Agent System	257
	A Robust and Scalable Clustering Algorithm for Mixed Type Attributes in Large Database Environment	263
	Co-Clustering Documents and Words Using Bipartite Spectral Graph Partitioning	269
	A Spectral Method to Separate Disconnected and Nearly-Disconnected Web Graph Components	275
	Clustering Spatial Data Using Random Walks	281
	Solving Regression Problems with Rule-based Ensemble Classifiers	287
	Mining Top-n Local Outliers in Large Databases	293
	Generalized Clustering, Supervised Learning, and Data Assignment	299
	Mining A Stream of Transactions for Customer Patterns	305
	The Distributed Boosting Algorithm	311
	Induction of Semantic Classes from Natural Language Text	317
	DIRT-Discovery of Inference Rules from Text	323
	Identifying Non-Actionable Association Rules	329
	Discovering the Set of Fundamental Rule Changes	335
	Finding Simple Intensity Descriptions from Event Sequence Data	341
	Data Filtering for Automatic Classification of Rocks from Reflectance Spectra	347
	Mining Frequent Neighboring Class Sets in Spatial Databases	353
	Experimental Comparisons of Online and Batch Versions of Bagging and Boosting	359
	TreeDT: Gene Mapping by Tree Disequilibrium Test	365
	Detecting Graph-Based Spatial Outliers: Algorithms and Applications (A Summary of Results)	371
	A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification	377
	Discovering Associations with Numeric Variables	383
	Discovering Outlier Filtering Rules from Unlabeled Data	389
	InfoMiner: Mining Surprising Periodic Patterns	395
	Real World Performance of Association Rule Algorithms	401
	Segmentation-Based Modeling for Advanced Targeted Marketing	408
	Interactive Path Analysis of Web Site Traffic	414
	Estimating Business Targets	420
	Magical Thinking in Data Mining: Lessons From CoIL Challenge 2000	426
	REVI-MINER, a KDD-Environment for Deviation Detection and Analysis of Warranty and Goodwill Cost Statements in Automotive Industry	432
	Data Mining Techniques to Improve Forecast Accuracy in Airline Business	438
	Mining from Open Answers in Questionnaire Data	443
	Funnel Report Mining for the MSN Network	450
	Evaluation of Prediction Models for Marketing Campaigns	456
	Knowledge Base Maintenance Using Knowledge Gap Analysis	462
	Mining User Session Data to Facilitate User Interaction with a Customer Service Knowledge Base in RightNow Web	467
	Mining Web Logs for Prediction Models in WWW Caching and Prefetching	473
	Tutorials	479
	Workshops	480
	Panels	481
	Author Index	482