Stock Image

Data Mining Feature Subset Weighting and Selection Using Genetic Algorithms

Okan Yilmaz

0 ratings by Goodreads
ISBN 10: 128828165X / ISBN 13: 9781288281657
Published by BiblioScholar
New Condition: New Soft cover
From BuySomeBooks (Las Vegas, NV, U.S.A.)

AbeBooks Seller Since May 21, 2012 Seller Rating 5-star rating

Quantity Available: > 20

Buy New
List Price: US$ 49.00
Price: US$ 71.96 Convert Currency
Shipping: Free Within U.S.A. Destination, rates & speeds
Add to basket

30 Day Return Policy

About this Item

128 pages. Dimensions: 9.7in. x 7.4in. x 0.3in.We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accuracy rate than that of binary classification. The weighted-sGA algorithm uses real-value chromosomes to find the weights for features and binary-sGA uses integer-value chromosomes to select the subset of features from original feature set. Since we use real-value chromosomes for weighted-sGA, instead of using standard crossover and mutation operators, these GRaCCE sGA operators are modified to adjust them to the feature subset selection and weighting problem. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9781288281657

Ask Seller a Question

Bibliographic Details

Title: Data Mining Feature Subset Weighting and ...

Publisher: BiblioScholar

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accuracy rate than that of binary classification. The weighted-sGA algorithm uses real-value chromosomes to find the weights for features and binary-sGA uses integer-value chromosomes to select the subset of features from original feature set. Since we use real-value chromosomes for weighted-sGA, instead of using standard crossover and mutation operators, these GRaCCE sGA operators are modified to adjust them to the feature subset selection and weighting problem.

"About this title" may belong to another edition of this title.

Store Description

BuySomeBooks is great place to get your books online. With over eight million titles available we're sure to have what you're looking for. Despite having a large selection of new books available for immediate shipment and excellent customer service, people still tell us they prefer us because of our prices.

Visit Seller's Storefront

Terms of Sale:

We guarantee the condition of every book as it's described on the Abebooks web
sites. If you're dissatisfied with your purchase (Incorrect Book/Not as
Described/Damaged) or if the order hasn't arrived, you're eligible for a refund
within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.

BuySomeBooks is operated by Drive-On-In, Inc., a Nevada co...

More Information
Shipping Terms:

Orders usually ship within 1-2 business days. Books are shipped from multiple locations so your order may arrive from Las Vegas,NV, Roseburg,OR, La Vergne,TN, Momence,IL, or Commerce,GA.

List this Seller's Books

Payment Methods
accepted by seller

Visa Mastercard American Express