0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Databases

Buy Now

Feature Selection for Knowledge Discovery and Data Mining (Hardcover, 1998 ed.) Loot Price: R9,647
Discovery Miles 96 470
Feature Selection for Knowledge Discovery and Data Mining (Hardcover, 1998 ed.): Huan Liu, Hiroshi Motoda

Feature Selection for Knowledge Discovery and Data Mining (Hardcover, 1998 ed.)

Huan Liu, Hiroshi Motoda

Series: The Springer International Series in Engineering and Computer Science, 454

 (sign in to rate)
Loot Price R9,647 Discovery Miles 96 470 | Repayment Terms: R904 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working 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."

General

Imprint: Springer
Country of origin: Netherlands
Series: The Springer International Series in Engineering and Computer Science, 454
Release date: July 1998
First published: July 1998
Authors: Huan Liu • Hiroshi Motoda
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 214
Edition: 1998 ed.
ISBN-13: 978-0-7923-8198-3
Categories: Books > Computing & IT > Applications of computing > Databases > General
Promotions
LSN: 0-7923-8198-X
Barcode: 9780792381983

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Database Principles - Fundamentals of…
Carlos Coronel, Keeley Crockett, … Paperback R1,179 R1,111 Discovery Miles 11 110
Management Of Information Security
Michael Whitman, Herbert Mattord Paperback R1,406 R1,302 Discovery Miles 13 020
Safety of Web Applications - Risks…
Eric Quinton Hardcover R2,473 Discovery Miles 24 730
Big Data and Smart Service Systems
Xiwei Liu, Rangachari Anand, … Hardcover R2,086 R1,942 Discovery Miles 19 420
Temporal Data Mining via Unsupervised…
Yun Yang Paperback R1,242 Discovery Miles 12 420
Ontologies, Taxonomies and Thesauri in…
Emilia Curras Paperback R1,399 Discovery Miles 13 990
Machine Learning and Data Mining
I Kononenko, M Kukar Paperback R2,019 Discovery Miles 20 190
Open Source Database Driven Web…
Isaac Dunlap Paperback R1,228 Discovery Miles 12 280
Fundamentals of Spatial Information…
Robert Laurini, Derek Thompson Hardcover R1,539 Discovery Miles 15 390
The Data Quality Blueprint - A Practical…
John Parkinson Hardcover R1,703 Discovery Miles 17 030
Database Solutions - A step by step…
Thomas Connolly, Carolyn Begg Paperback R2,256 Discovery Miles 22 560
CompTIA Data+ DA0-001 Exam Cram
Akhil Behl, Sivasubramanian Digital product license key R1,769 R1,084 Discovery Miles 10 840

See more

Partners