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

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

最 低 价:¥793.26

定 价:¥881.40

作 者:AlípioJorge 著

出 版 社:北京燕山出版社

出版时间:2005-11-1

I S B N:9783540292449

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内容简介

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.

作者简介

目录

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

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