Knowledge Discovery in Databases数据库中的知识发现: PKDD 2005 /会议录

This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005.
The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

Invited Talks
　Data Analysis in the Life Sciences -- Sparking Ideas --
　Machine Learning for Natural Language Processing (and Vice Versa?)
　Statistical Relational Learning: An Inductive Logic Programming　Perspective
　Recent Advances in Mining Time Series Data
　Focus the Mining Beacon: Lessons and Challenges from the World of　E-Commerce
　Data Streams and Data Synopses for Massive Data Sets
Long Papers
　k-Anonymous Patterns
　Interestingness is Not a Dichotomy: Introducing Softness in Constrained　Pattern Mining
　Generating Dynamic Higher-Order Markov Models in Web Usage　Mining
　TREE2 - Decision Trees for Tree Structured Data
　Agglomerative Hierarchical Clustering with Constraints: Theoretical　and Empirical Results
　Cluster Aggregate Inequality and Multi-level Hierarchical Clustering
　Ensembles of Balanced Nested Dichotomies for Multi-class Problems
　Protein Sequence Pattern Mining with Constraints
　An Adaptive Nearest Neighbor Classification Algorithm for Data　Streams
　Support Vector Random Fields for Spatial Classification
　Realistic, Mathematically Tractable Graph Generation and Evolution,　Using Kronecker Multiplication
　A Correspondence Between Maximal Complete Bipartite Subgraphs　and Closed Patterns
　Improving Generalization by Data Categorization
　Mining Model Trees from Spatial Data
　Word Sense Disambiguation for Exploiting Hierarchical Thesauri in　Text Classification
　Mining Paraphrases from Self-anchored Web Sentence Fragments
　M2SP: Mining Sequential Patterns Among Several Dimensions
……
Short Papers
Author Index