Studies in Computational Intelligence

By: Djamel A. Zighed (Editor), Zbigniew W. Ras (Editor), Shusaku Tsumoto (Editor), Hakim Hacid (Editor)

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Hardcover | 13 October 2008

At a Glance

Hardcover
316 Pages

Dimensions(cm)
23.5 x 15.5 x 1.91

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The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. The whole knowledge discovery process being involved, our goal is to provide researchers dealing with each step of this process by key entries. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to the visualization and interpretation (e.g. sorting or filtering) of the results, via the data mining methods themselves (e.g. classification, clustering, frequent patterns extraction, etc.). The papers presented here are selected from the workshop papers held yearly since 2006.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Science Artificial Intelligence Mathematics Applied Mathematics Graphical & Digital Media Applications Computer-Aided Design CAD Engineering & Technology Technology in General

Engineering in General Maths for Engineers

General Aspects of Complex Data
Using Layout Data for the Analysis of Scientific Literature	p. 3
Extracting a Fuzzy System by Using Genetic Algorithms for Imbalanced Datasets Classification: Application on Down's Syndrome Detection	p. 23
A Hybrid Approach of Boosting Against Noisy Data	p. 41
Dealing with Missing Values in a Probabilistic Decision Tree during Classification	p. 55
Kernel-Based Algorithms and Visualization for Interval Data Mining	p. 75
Rules Extraction
Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method	p. 95
Mining Statistical Association Rules to Select the Most Relevant Medical Image Features	p. 113
From Sequence Mining to Multidimensional Sequence Mining	p. 133
Tree-Based Algorithms for Action Rules Discovery	p. 153
Graph Data Mining
Indexing Structure for Graph-Structured Data	p. 167
Full Perfect Extension Pruning for Frequent Subgraph Mining	p. 189
Parallel Algorithm for Enumerating Maximal Cliques in Complex Network	p. 207
Community Finding of Scale-Free Network: Algorithm and Evaluation Criterion	p. 223
The k-Dense Method to Extract Communities from Complex Networks	p. 243
Data Clustering
Efficient Clustering for Orders	p. 261
Exploring Validity Indices for Clustering Textual Data	p. 281
Author Index	p. 301
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

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How to return your order

Defective items

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