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　　分類: 图书,计算机/网络,数据库,数据仓库与数据挖掘,

作者： Luc De Raedl，Arno Siebes 著

出 版 社： 湖南文艺出版社

出版时间： 2001-12-1字数：版次： 1页数： 510印刷时间： 2001/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540425342包装： 平装内容简介

This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001.

The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.

目录

Regular Papers

Self Similar Layered Hidden Markov Models

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning

Detecting Temporal Changes in Event Sequences: An Application to

Demographic Data Knowledge Discovery in Multi-label Phenotype Data

Computing Association Rules Using Partial Totals

Gaphyl: A Genetic Algorithms Approach to Cladistics

Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity

Data Structures for Minimization of Total Within-Group Distance for

Spatio-Temporal Clustering

Non-crisp Clustering by Fast, Convergent, and Robust Algorithms

Pattern Extraction for Time Series Classification

Specifying Mining Algorithms with Iterative User-Defined Aggregates:

A Case Study

Interesting Fuzzy Association Rules in Quantitative Databases

Interestingness Measures for Fuzzy Association Rules 1

A Data Set Oriented Approach for Clustering Algorithm Selection 1

Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. 1

Discovery of Temporal Patterns. Learning Rules about the Qualitative

Behaviour of Time Series

Temporal Rule Discovery for Time-Series Satellite Images and Integration

with RDB

Using Grammatical Inference to Automate Information Extraction

from the Web

Biological Sequence Data Mining

Implication-Based Fuzzy Association Rules

A General Measure of Rule Interestingness

Error Correcting Codes with Optimized Kullback-Leibler Distances for Text

Categorization

Propositionalisation and Aggregates

Algorithms for the Construction of Concept Lattices and Their DiagramGraphs

Sergei Kuznetsov and Sergei Obiedkov

Data Reduction Using Multiple Models Integration

Discovering Fuzzy Classification Rules with Genetic Programming and

Co-evolution

Inviter Papeis

Author Index

 

 

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