Get Free Shipping on orders over $79
Feature Selection for Knowledge Discovery and Data Mining : Kluwer International Series in Engineering and Computer Science, Secs 454. - Huan Liu

Feature Selection for Knowledge Discovery and Data Mining

By: Huan Liu, Liu Huan, Hiroshi Motoda

Hardcover | 31 July 1998

At a Glance

Hardcover


$539.00

or 4 interest-free payments of $134.75 with

 or 

Ships in 5 to 7 business days

As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com­ puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys­ tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Other Editions and Formats

Paperback

Published: 27th January 2013

More in Databases

Python All-in-One For Dummies : 3rd Edition - John C. Shovic

RRP $74.95

$55.75

26%
OFF
Database Systems : A Practical Approach - Mitchell Penn
Tools and Applications of Data Mining - Richard Vincent
Big Data Analytics : A Practical Guide - Candy Walken
The Data Science and Psychology - Alisha Attella
Microsoft Power BI For Dummies : For Dummies (Computer/Tech) - Jack A. Hyman
Microsoft Excel 365 Bible : Bible - Michael Alexander

RRP $90.95

$65.75

28%
OFF
Social Research Methods : 4th Edition - Maggie Walter

RRP $101.95

$87.75

14%
OFF
Mindf*ck : Inside Cambridge Analytica's Plot to Break the World - Profile Books
Data Analytics for Accounting ISE : 3rd Edition - Vernon Richardson

RRP $169.95

$146.75

14%
OFF
Microsoft 365 Access For Dummies : Access for Dummies - Laurie A. Ulrich