ENGLISH

Innovative Applications in Data Mining

By Nadia Nedjah , Luiza de Macedo Mourelle , Janusz Kacprzyk (eds.) , Denise N. Rotondi Azevedo (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
3540880445, 9783540880448, 9783540880455
DOI
10.1007/978-3-540-88045-5
ISSN
1860949X
LCC
QA76.9.D343 I56 2009
Google Books ID
87DqT-KJgQMC
Open Library ID
OL24813836M
Language
english
Format
PDF
Filesize
3 MB (3181662 bytes)
Series
Studies in Computational Intelligence 169
Edition
1
Pages
124\135
Scanned
no
Time added
2012-02-04 16:00:00
Appl.Mathematics/Computational Methods of Engineer

Description

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

Similar books