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Foundations of Data Mining and Knowledge Discovery

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Foundations of Data Mining and Knowledge Discovery Cover

 

Synopses & Reviews

Publisher Comments:

Foundations of Data Mining and Knowledge Discovery contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state-of-the-art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.

Table of Contents

From the contents: Part I Foundations of Data Mining; Knowledge Discovery as Translation; Mathematical Foundation of Association Rules - Mining Associations by Solving Integral Linear Inequalities; Comparative Study of Sequential Pattern Mining Models; Designing Robust Regression Models; A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases; A Careful Look at the Use of Statistical Methodology in Data Mining; Justification and Hypothesis Selection in Data Mining.- Part II Methods of Data Mining; A Comparative Investigation on Model Selection in Binary Factor Analysis; Extraction of Generalized Rules with Automated Attribute Abstraction; Decision Making Based on Hybrid of Multi-knowledge and Naïve Bayes Classifier; First-Order Logic Based Formalism for Temporal Data Mining; An Alternative Approach to Mining Association Rules.- Part III General Knowledge Discovery; Posting Act Tagging Using Transformation-Based Learning.

Product Details

ISBN:
9783540262572
Author:
Lin, Tsau Young (edt)
Publisher:
Springer
Editor:
Ohsuga, Setsuo
Editor:
Lin, Tsau Young
Author:
Liau, Churn-Jung
Author:
Lew, Art
Author:
Ohsuga, Setsuo
Author:
Lin, Tsau Young
Author:
Tsumoto, Shusaku
Author:
Hu, Xiaohua
Subject:
Applied
Subject:
Data mining
Subject:
Artificial Intelligence - General
Subject:
Foundations of Data Mining
Subject:
Methods of Data Mining
Subject:
General Knowledge Discovery
Subject:
Intelligence (AI) & Semantics
Subject:
Mathematics-Applied
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Studies in Computational Intelligence
Series Volume:
6
Publication Date:
October 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
75 schw.-w. Abb., 84 schw.-w. Tab., 27 s
Pages:
389
Dimensions:
235 x 155 mm

Related Subjects

» Arts and Entertainment » Art » General
» Computers and Internet » Artificial Intelligence » General
» Computers and Internet » Computers Reference » General
» Computers and Internet » Personal Computers » General
» History and Social Science » Law » General
» Science and Mathematics » Chemistry » Organic
» Science and Mathematics » Mathematics » Applied

Foundations of Data Mining and Knowledge Discovery New Hardcover
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