Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, practical techniques of this exciting field are provided.

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.

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 Includes supplementary material: sn.pub/extras

Inhalt

Introduction to Data Mining.- The data-mine.- Exploratory data analysis.- Classification and decision trees.- Data mining techniques and models.- Classification performance evaluation.