WhatToSee

Index of KDD 2003

• A Two-Way Visualization Method for Clustered Data
• A Web Page Prediction Model Based on Click-Stream Tree Representation of User Behavior
• Accurate Decision Trees for Mining High-speed Data Streams
• Adaptive Duplicate Detection Using Learnable String Similarity Measures
• Algorithms for Estimating Relative Importance in Networks
• An Adaptive Nearest Neighbor Search for a Parts Acquisition ePortal
• Applications of Sampling and Fractional Factorial Designs to Model-Free Data Squashing
• Applying Data Mining in Investigating Money Laundering Crimes
• Assessment and Pruning of Hierarchical Model Based Clustering
• CARPENTER: Finding Closed Patterns in Long Biological Datasets
• CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets∗
• Capturing Best Practice for Microarray Gene Expression Data Analysis
• Classifying Large Data Sets Using SVMs with Hierarchical Clusters
• Clinical and Financial Outcomes Analysis with Existing Hospital Patient Records
• Cross-training: Learning probabilistic mappings between topics
• Data Quality through Knowledge Engineering
• Data-driven Validation, Completion and Construction of Event Relationship Networks
• Discovery of Climate Indices using Clustering
• Efficient Elastic Burst Detection in Data Streams
• Efficiently Handling Feature Redundancy in High-Dimensional Data
• Eliminating Noisy Information in Web Pages for Data Mining
• Empirical Bayesian Data Mining for Discovering Patterns in Post-Marketing Drug Safety
• Empirical Comparisons of Various Voting Methods in Bagging
• Experimental Study of Discovering Essential Information from Customer Inquiry
• Experiments with Random Projections for Machine Learning
• Extracting Semantics from Data Cubes using Cube Transversals and Closures
• Fast Vertical Mining Using Diffsets
• Finding Recent Frequent Itemsets Adaptively over Online Data Streams
• Fragments of order
• Frequent-Subsequence-Based Prediction of Outer Membrane Proteins *
• Generating English Summaries of Time Series Data Using the Gricean Maxims
• Generative Model-based Clustering of Directional Data
• Golden Path Analyzer: Using Divide-and-Conquer to Cluster Web Clickstreams
• Graph-Based Anomaly Detection
• Improving Spatial Locality of Programs via Data Mining
• Information Awareness: A Prospective Technical Assessment
• Information-Theoretic Co-clustering
• Interactive Exploration of Coherent Patterns in Time-series Gene Expression Data
• Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining
• Learning Relational Probability Trees
• Maximizing the Spread of Influence through a Social Network
• Mining Concept-Drifting Data Streams Using Ensemble Classifiers
• Mining Data Records in Web Pages
• Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule
• Mining Hepatitis Data with Temporal Abstraction
• Mining Phenotypes and Informative Genes from Gene Expression Data
• Mining Unexpected Rules by Pushing User Dynamics ∗
• Mining Viewpoint Patterns in Image Databases
• Nantonac Collaborative Filtering: Recommendation Based on Order Responses
• Natural Communities in Large Linked Networks∗
• Navigating Massive Data Sets via Local Clustering
• New Unsupervised Clustering Algorithm for Large Datasets
• On Computing, Storing and Querying Frequent Patterns
• On Detecting Differences Between Groups
• PaintingClass: Interactive Construction, Visualization and Exploration of Decision Trees
• Passenger-Based Predictive Modeling of Airline No-show Rates
• Playing Hide-And-Seek with Correlations
• Privacy-Preserving K -Means Clustering over Vertically Partitioned Data
• Probabilistic Discovery of Time Series Motifs
• SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process
• Screening and Interpreting Multi-item Associations Based on Log-linear Modeling
• Style Mining of Electronic Messages for Multiple Authorship Discrimination: First Results
• The Data Mining Approach to Automated Software Testing
• Time and Sample Efficient Discovery of Markov Blankets and Direct Causal Relations
• To Buy or Not to Buy: Mining Airfare Data to Minimize Ticket Purchase Price
• Towards NIC-based Intrusion Detection
• Towards Systematic Design of Distance Functions for Data Mining Applications
• Translation-Invariant Mixture Models for Curve Clustering∗
• Understanding Captions in Biomedical Publications
• Using Randomized Response Techniques for Privacy-Preserving Data Mining
• Visualizing Changes in the Structure of Data for Exploratory Feature Selection
• Visualizing Concept Drift
• Weighted Association Rule Mining using Weighted Support and Significance Framework
• XRules: An Effective Structural Classifier for XML Data
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