Data mining : concepts, models and techniques

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aid...

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Bibliographic Details
Main Author: Gorunescu, Florin, 1953-
Format: Livre numérique
Language:Anglais
Published: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edition:1st ed. 2011.
Series:Intelligent Systems Reference Library 12
Subjects:
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data Mining, Texte imprimé, 9783642267734
• Data mining, concepts, models and techniques, Florin Gorunescu, Berlin, Springer, 2011, 1 vol. (XI-357 p.), Intelligent Systems Reference Library, 978-3-642-19720-8
• Data Mining, Texte imprimé, 9783642197222
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505 1 |a Introduction to Data Mining The data-mine Exploratory data analysis Classification and decision trees Data mining techniques and models Classification performance evaluation 
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520 |a The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since knowledge is power . The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information 
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650 |a Systèmes experts (informatique) 
650 |a Exploration de données 
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