Knowledge Discovery in Databases: PKDD 2004(数据库的知识发现：PKDD 2004/会议录)

The LNAI series reports state-of-the-art results in artificial intelligence re-search， development， and education， at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community， with numerous individuals， as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.
—proceedings （published in time for the respective conference）
—post-proceedings （consisting of thoroughly revised final full papers）
—research monographs（which may be based on PhD work）.

Invited Papers
　Random Matrices in Data Analysis
　Data Privacy
　Breaking Through the Syntax Barrier:Searching with Entities and Relations
　Real-World Learning with Markov Logic Networks
　Strength in Diversity: The Advance of Data Analysis
Contributed Papers
　Mining Positive and Negative Association Rules:'An Approach for Confined Rules
　An Experiment on Knowledge Discovery in Chemical Databases
　Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
　Combining Multiple Clustering Systems
　Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms
　A Framework for Data Mining Pattern Management
　Spatial Associative Classification at Different Levels of Granularity:　A Probabilistic Approach
　AutoPart: Parameter-Free Graph Partitioning and Outlier Detection
　Properties and Benefits of Calibrated Classifiers
　A Tree-Based Approach to Clustering XML Documents by Structure
　Discovery of Regulatory Connections in Microarray Data
　Learning from Little: Comparison of Classifiers Given Little Training
　Geometric and Combinatorial Tiles in 0-1 Data
　Document Classification Through Interactive Supervision　of Document and Term Labels
　Classifying Protein Fingerprints
　Finding Interesting Pass Patterns from Soccer Game Records
　Discovering Unexpected Information for Technology Watch
　Scalable Density-Based Distributed Clustering
　Summarization of Dynamic Content in Web Collections
　Mining Thick Skylines over Large Databases
　Ensemble Feature Ranking
　Privately Computing a Distributed k-nn Classifier
　Incremental Nonlinear PCA for Classification
　……
Posters
Demonstration Paters
Author Index