Mathematical Tools for Data Mining PDF
By:Dan A. Simovici,Chaabane Djeraba
Published on 2008-08-15 by Springer Science & Business Media
This volume was born from the experience of the authors as researchers and educators,whichsuggeststhatmanystudentsofdataminingarehandicapped in their research by the lack of a formal, systematic education in its mat- matics. The data mining literature contains many excellent titles that address the needs of users with a variety of interests ranging from decision making to p- tern investigation in biological data. However, these books do not deal with the mathematical tools that are currently needed by data mining researchers and doctoral students. We felt it timely to produce a book that integrates the mathematics of data mining with its applications. We emphasize that this book is about mathematical tools for data mining and not about data mining itself; despite this, a substantial amount of applications of mathematical c- cepts in data mining are presented. The book is intended as a reference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a foundational role in statistics, machine learning and data mining. Thisvolumeisdedicatedtothestudyofset-theoreticalfoundationsofdata mining. Two further volumes are contemplated that will cover linear algebra and probability theory. The ?rst part of this book, dedicated to set theory, begins with a study of functionsandrelations.Applicationsofthesefundamentalconceptstosuch- sues as equivalences and partitions are discussed. Also, we prepare the ground for the following volumes by discussing indicator functions, ?elds and?-?elds, and other concepts.
This Book was ranked at 20 by Google Books for keyword mathematics about sets.
Book ID of Mathematical Tools for Data Mining's Books is 6i-F3ZNcub4C, Book which was written byDan A. Simovici,Chaabane Djerabahave ETAG "yUTLJctLAUI"
Book which was published by Springer Science & Business Media since 2008-08-15 have ISBNs, ISBN 13 Code is 9781848002012 and ISBN 10 Code is 1848002017
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Book which have "615 Pages" is Printed at BOOK under CategoryComputers
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