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KDD - Poster Papers
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Collaborative Crawling: Mining User Experiences for Topical Resource Discovery
Sequential PAttern Mining Using Bitmap Representation
Frequent Term-Based Text Clustering
A Theoretical Framework for Learning from a Pool of Disparate Data Sources
Topics in 0-1 data
Extracting Decision Trees From Trained Neural Networks
A New Two-Phase Sampling Based Algorithm for Discovering Association Rules
CVS: A Correlation-Verification Based Smoothing Technique on Information Retrieval and Term Clustering
Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration
SECRET: A Scalable Linear Regression Tree Algorithm
Statistical Modeling of Large-Scale Simulation Data
Tumor Cell Identification using Features Rules
Integrating Feature and Instance Selection for Text Classification
SyMP: An Efficient Clustering Approach to Identify Clusters of Arbitrary Shapes in Large Data Sets
Scaling multi-class Support Vector Machines using inter-class confusion
Visualization Support for an User-Centered KDD Process
Mining Complex Models from Arbitrarily Large Databases in Constant Time
A Model for Discovering Customer Value for E-Content
SimRank: A Measure of Structural-Context Similarity
Similarity Measure Based on Partial Information of Time series
Finding Surprising Patterns in a Time Series Database In Linear Time and Space
Clustering Seasonality Patterns in the Presence of Errors
Construct robust rule sets for classification
Instability of Decision Tree Classification Algorithms
Distributed Data Mining in a Chain Store Database of Short Transactions
A Robust and Efficient Clustering Algorithm based on Cohesion Self-Merging
Discovering Informative Content Blocks from Web Documents
Collusion in The U.S. Crop Insurance Program: Applied Data Mining
Incremental Context Mining for Adaptive Document Classification
Evaluating Classifiers' Performance in a Constrained Environment
Discovering Word Senses from Text
Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data
Single-shot Detection of Multiple Categories of Text using Parametric Mixture Models
What's the Code? Automatic Classification of Source Code Archives
Privacy Preserving Association Rule Mining in Vertically Partitioned Data
Non-Linear Dimensionality Reduction Techniques for Classification and Visualization
Item Selection By "Hub-Authority" Profit Ranking
Discovery Net: Towards a Grid of Knowledge Discovery
Making every bit count: Fast nonlinear axis scaling
B-EM: A Classifier Incorporating Bootstrap with EM Approach for Data Mining
A Unifying Framework for Detecting Outliers and Change Points from Non-stationary Time Series Data
CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data
Topic-conditioned Novelty Detection
Transforming classifier scores into accurate multiclass probability estimates
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