The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This...

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Weitere Verfasser:	Berry, Michael W., Browne, Murray
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Singapore ; Hackensack, NJ : World Scientific, ©2006.
Schlagworte:	Data mining. Data Mining Exploration de données (Informatique) COMPUTERS > Desktop Applications > Databases. COMPUTERS > Database Management > General. COMPUTERS > System Administration > Storage & Retrieval. Data mining Datamining.
Online-Zugang:	Volltext
Zusammenfassung:	The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited "student-authored lectures" which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by explaining some of the basics such as applications of Bayes Theorem, similarity measures, and decision trees. Before focusing on the pillars of classification, clustering, and association rules, this book also considers alternative candidates such as point estimation and genetic algorithms. The book's discussion of classification includes an introduction to decision tree algorithms, rule-based algorithms (a popular alternative to decision trees) and distance-based algorithms. Five of the lecture-chapters are devoted to the concept of clustering or unsupervised classification. The functionality of hierarchical and partitional clustering algorithms is also covered as well as the efficient and scalable clustering algorithms used in large databases. The concept of association rules in terms of basic algorithms, parallel and distributive algorithms and advanced measures that help determine the value of association rules are discussed. The final chapter discusses algorithms for spatial data mining
Beschreibung:	1 online resource (xiii, 222 pages) : illustrations
Bibliographie:	Includes bibliographical references and index.
ISBN:	9789812773630 9812773630 1281379042 9781281379047 9812568026 9789812568021