SIGKDD(KDD) 1999 论文列表
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999.
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Mining Interesting Knowledge Using DM-II.
NonStop SQL/MX Primitives for Knowledge Discovery.
The PanQ Tool and EMF SQL for Complex Data Management.
WAPS, a Data Mining Support Environment for the Planning of Warranty and Goodwill Costs in the Automobile Industry.
Optimization of Collection Efforts in Automobile Financing - a KDD Supported Environment.
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions.
Origami: A New Data Visualization Tool.
Monitoring a Newsfeed for Hot Topics.
Text Mining: Finding Nuggets in Mountains of Textual Data.
Visual Classification: An Interactive Approach to Decision Tree Construction.
Bayesian Networks for Lossless Dataset Compression.
Using Approximations to Scale Exploratory Data Analysis in Datacubes.
User Profiling in Personalization Applications Through Rule Discovery and Validation.
Towards Automated Synthesis of Data Mining Programs.
The Impact of Changing Populations on Classifier Performance.
The Application of AdaBoost for Distributed, Scalable and On-Line Learning.
Prediction with Local Patterns using Cross-Entropy.
On the Merits of Building Categorization Systems by Supervised Clustering.
Mining Lesion-Deficit Associations in a Brain Image Database.
Mining Features for Sequence Classification.
Mining Association Rules with Multiple Minimum Supports.
Interestingness via What is Not Interesting.
Information Mining Platforms: An Infrastructure for KDD Rapid Deployment.
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.
Handling Concept Drifts in Incremental Learning with Support Vector Machines.
Fast Density Estimation Using CF-Kernel for Very Large Databases.
Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering.
Detecting Change in Categorical Data: Mining Contrast Sets.
Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules.
Applying General Bayesian Techniques to Improve TAN Induction.
An Efficient Algorithm to Update Large Itemsets with Early Pruning.
Adaptive Query Processing for Time-Series Data.
Accelerating Exact k-means Algorithms with Geometric Reasoning.
A Study of Support Vectors on Model Independent Example Selection.
A Statistical Theory for Quantitative Association Rules.
Using Association Rules for Product Assortment Decisions: A Case Study.
Using a Knowledge Cache for Interactive Discovery of Association Rules.
Density-Based Indexing for Approximate Nearest-Neighbor Queries.
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions.
Discovering Roll-Up Dependencies.
Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering.
Generalized Additive Neural Networks.
Estimating Campaign Benefits and Modeling Lift.
A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection.
Extending Naïve Bayes Classifiers Using Long Itemsets.
MetaCost: A General Method for Making Classifiers Cost-Sensitive.
Mining the Most Interesting Rules.
Mining Optimized Gain Rules for Numeric Attributes.
Pruning and Summarizing the Discovered Associations.
Mining in a Data-Flow Environment: Experience in Network Intrusion Detection.
Mining GPS Data to Augment Road Models.
Statistics and Data Mining Techniques for Lifetime Value Modeling.
Entropy-based Subspace Clustering for Mining Numerical Data.
CACTUS - Clustering Categorical Data Using Summaries.
Trajectory Clustering with Mixtures of Regression Models.
Activity Monitoring: Noticing Interesting Changes in Behavior.
Efficient Mining of Emerging Patterns: Discovering Trends and Differences.
Event Detection from Time Series Data.
Efficient Progressive Sampling.
Fast and Effective Text Mining Using Linear-Time Document Clustering.
Squashing Flat Files Flatter.
2001: A Statistical Odyssey (Invited talk, Abstract only).
Farming the Web for Systematic Business Intelligence (Invited talk, Abstract only).
Data Mining: Crossing the Chasm (Invited talk, Abstract only).
