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Engineering - Computational Intelligence and Complexity | Data Mining - Concepts, Models and Techniques | Springer

Data Mining

Concepts, Models and Techniques

Gorunescu, Florin

Extended and updated translation from the original Romanian edition published by Editura Albastra (Blue Publishing House) Cluj-Napoca, Romania, ISBN 973-650-169-8, 2006.

2011, XII, 360 p.

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Outstanding_Academic_Title_2011
  • A self-contained introduction to Data Mining
  • Present the concepts, models and techniques for date mining in a well organized style
  • Written by an expert in this field

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.

Content Level » Research

Keywords » Computational Intelligence - Data Mining - Intelligent System

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

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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