WhatToSee

Index of KDD 2004

• 2PXMiner - An Efficient Two Pass Mining of Frequent XML Query Patterns
• A Bayesian Network Framework for Reject Inference
• A Cross-Collection Mixture Model for Comparative Text Mining
• A DEA Approach for Model Combination
• A Data Mining Approach to Modeling Relationships Among Categories in Image Collection
• A Framework for Ontology-Driven Subspace Clustering
• A General Approach to Incorporate Data Quality Matrices into Data Mining Algorithms
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
• A Generative Probabilistic Approach to Visualizing Sets of Symbolic Sequences
• A Graph-Theoretic Approach to Extract Storylines from Search Results
• A Microeconomic Data Mining Problem: Customer-Oriented Catalog Segmentation
• A Probabilistic Framework for Semi-Supervised Clustering
• A Quickstart in Frequent Structure Mining Can Make a Difference
• A Rank Sum Test Method for Informative Gene Discovery ∗
• A System for Automated Mapping of Bill-of-Materials Part Numbers
• ANN Quality Diagnostic Models for Packaging Manufacturing: An Industrial Data Mining Case Study
• Adversarial Classification
• An Iterative Method for Multi-class Cost-sensitive Learning
• An Objective Evaluation Criterion for Clustering
• Analytical View of Business Data
• Approximating a Collection of Frequent Sets
• Automatic Multimedia Cross-modal Correlation Discovery∗
• Belief State Approaches to Signaling Alarms in Surveillance Systems
• Cluster-based Concept Invention for Statistical Relational Learning
• Clustering Time Series from ARMA Models with Clipped Data
• Column-Generation Boosting Methods for Mixture of Kernels
• Cross Channel Optimized Marketing by Reinforcement Learning
• Cyclic Pattern Kernels for Predictive Graph Mining∗
• Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria
• Dense Itemsets
• Density-Based Spam Detector
• Diagnosing Extrapolation: Tree-Based Density Estimation
• Discovering Additive Structure in Black Box Functions
• Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach
• Document Preprocessing For Naive Bayes Classification and Clustering with Mixture of Multinomials
• Early Detection of Insider Trading in Option Markets
• Effective Localized Regression for Damage Detection in Large Complex Mechanical Structures
• Eigenspace-based Anomaly Detection in Computer Systems
• Estimating the Size of the Telephone Universe: A Bayesian Mark-Recapture Approach
• Exploiting A Support-based Upper Bound of Pearson’s Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs
• Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methods
• Exploring the Community Structure of Newsgroups
• Fast Discovery of Connection Subgraphs
• Fast Mining of Spatial Collocations∗
• Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
• Feature Selection in Scientific Applications
• Fully Automatic Cross-Associations∗
• GPCA: An Efficient Dimension Reduction Scheme for Image Compression and Retrieval
• Generalizing the Notion of Support
• IDR/QR: An Incremental Dimension Reduction Algorithm via Q R D ecomposition
• Identifying Early Buyers from Purchase Data
• Improved Robustness of Signature-Based Near-Replica Detection via Lexicon Randomization
• IncSpan: Incremental Mining of Sequential Patterns in Large Database ∗
• Incorporating Prior Knowledge with Weighted Margin ∗ Support Vector Machines
• Incremental Maintenance of Quotient Cube for Median
• Interactive Training of Advanced Classifiers for Mining Remote Sensing Image Archives
• Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge
• Kernel k-means, Spectral Clustering and Normalized Cuts
• Learning Spatially Variant Dissimilarity (SVaD) Measures
• Learning a Complex Metabolomic Dataset using Random Forests and Support Vector Machines
• Learning to Detect Malicious Executables in the Wild
• Locating Secret Messages in Images
• Machine Learning for Online Query Relaxation
• Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data
• Mining Reference Tables for Automatic Text Segmentation
• Mining Scale-free Networks using Geodesic Clustering
• Mining and Summarizing Customer Reviews
• Mining the Space of Graph Properties
• Mining, Indexing, and Querying Historical Spatiotemporal Data
• On Demand Classification of Data Streams
• On Detecting Space-Time Clusters
• On the Discovery of Significant Statistical Quantitative Rules
• Ordering Patterns by Combining Opinions from Multiple Sources
• Parallel Computation of High Dimensional Robust Correlation and Covariance Matrices
• Predicting Customer Shopping Lists from Point-of-Sale Purchase Data
• Predicting Prostate Cancer Recurrence via Maximizing the Concordance Index
• Privacy Preserving Regression Modelling Via Distributed Computation
• Probabilistic Author-Topic Models for Information Discovery
• Programming the K-means Clustering Algorithm in SQL
• Rapid Detection of Significant Spatial Clusters
• Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters.
• Redundancy Based Feature Selection for Microarray Data
• Regularized Multi–Task Learning
• SPIN: Mining Maximal Frequent Subgraphs from Graph Databases
• Scalable Mining of Large Disk-based Graph Databases
• Selection, Combination, and Evaluation of Effective Software Sensors for Detecting Abnormal Computer Usage
• Semantic Representation, Search and Mining of Multimedia Content
• Sleeved CoClustering ∗
• Systematic Data Selection to Mine Concept-Drifting Data Streams
• The Complexity of Mining Maximal Frequent Itemsets and Maximal Frequent Patterns
• The IOC algorithm: Efficient Many-Class Non-parametric Classification for High-Dimensional Data
• TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture
• Towards Parameter-Free Data Mining
• Tracking Dynamics of Topic Trends Using a Finite Mixture Model
• Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions
• V-Miner: Using Enhanced Parallel Coordinates to Mine Product Design and Test Data 1
• Visually Mining and Monitoring Massive Time Series
• Web Usage Mining Based on Probabilistic Latent Semantic Analysis
• Why Collective Inference Improves Relational Classification
• k-TTP: A New Privacy Model for Large-Scale Distributed Environments ∗