WhatToSee

Index of KDD 2000

• A Framework for Specifying Explicit Bias for Revision of Approximate Information Extraction Rules
• Active Learning using Adaptive Resampling
• An Empirical Analysis of Techniques for Constructing and Searching K-Dimensional Trees
• Application of Neural Networks to Biological Data Mining: A Case Study in Protein Sequence Classification
• Automating Exploratory Data Analysis for Efficient Data Mining
• Cross-sell: A Fast Promotion-Tunable Customer-item Recommendation Method Based on Conditionally Independent Probabilities
• Data Mining Solves Tough Semiconductor Manufacturing Problems
• Data Mining Techniques for Optimizing Inventories for Electronic Commerce
• Data Selection for Support Vector Machine Classifiers
• Depth First Generation of Long Patterns
• Discovering Similar Patterns in Time Series
• Discovery of Multi-level Rules and Exceptions from a Distributed Database
• Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching
• Efficient search for association rules
• Evolutionary Algorithms in Data Mining: Multi-Objective Performance Modeling for Direct Marketing
• Explicitly Representing Expected Cost: An Alternative to ROC Representation
• Exploration Mining in Diabetic Patients Databases: Findings and Conclusions
• Generating Non-Redundant Association Rules
• Genome Scale Prediction of Protein Functional Class from Sequence using Data Mining
• Identifying Prospective Customers
• Incremental Quantile Estimation for Massive Tracking
• IntelliClean : A Knowledge-Based Intelligent Data Cleaner
• Interactive Exploration of Very Large Relational Datasets through 3D Dynamic Projections
• Mining Asynchronous Periodic Patterns in Time Series Data
• Mining IC Test Data to Optimize VLSI Testing
• Mining The Stock Market: Which Measure Is Best ?
• Multi-Level Organization and Summarization of the Discovered Rules
• Multivariate Discretization of Continuous Variables for Set Mining
• 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 (ADS)
• Predictive Modeling in Automotive Direct Marketing: Tools, Experiences and Open Issues
• Scaling up Dynamic Time Warping for Datamining Applications
• Small is Beautiful: Discovering the Minimal Set of Unexpected Patterns
• Targeting the Right Students Using Data Mining
• The IGrid Index: Reversing the Dimensionality Curse For Similarity Indexing in High Dimensional Space
• Towards an Effective Cooperation of the User and the Computer for Classification
• Unsupervised Bayesian Visualization of High-Dimensional Data
• Visualization and The Process of Modeling: A Cognitive-theoretic View
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