Data Mining [electronic resource] : Concepts, Models and Techniques / by Florin Gorunescu.

By: Gorunescu, Florin [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Series: Intelligent Systems Reference Library: 12Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XII, 360 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642197215Subject(s): Engineering | Artificial intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q342Online resources: Click here to access online
Contents:
Introduction to Data Mining -- The ”data-mine” -- Exploratory data analysis -- Classification and decision trees -- Data mining techniques and models -- Classification performance evaluation.
In: Springer eBooksSummary: 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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Introduction to Data Mining -- The ”data-mine” -- Exploratory data analysis -- Classification and decision trees -- Data mining techniques and models -- Classification performance evaluation.

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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