We Need Diverse Ya Sale
 
 

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to PowellsBooks.news
for a chance to win.
Privacy Policy

Visit our stores


    Recently Viewed clear list


    Lists | June 22, 2015

    Stephen Jarvis: IMG Robert Seymour — 13 Pictures



    1. Self-Portrait. My new novel, Death and Mr. Pickwick, tells the story of the origins of Charles Dickens's first novel, The Pickwick Papers. Its... Continue »
    1. $21.00 Sale Hardcover add to wish list

      Death and Mr. Pickwick

      Stephen Jarvis 9780374139667

    spacer
Qualifying orders ship free.
$137.95
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Computers Reference- General

Pattern Recognition Algorithms for Data Mining

by

Pattern Recognition Algorithms for Data Mining Cover

 

Synopses & Reviews

Publisher Comments:

< P> Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.< /P>

Book News Annotation:

Pal (Indian Statistical Institute, Calcutta) and Mitra (computer science and engineering, Indian Institute of Technology, Kanpur) present a unified framework for addressing pattern recognition tasks which are essential for data mining, and provide detailed analyses of various methodologies for dealing with problems in which recognition plays an important role. In addition to classical methods, they look at new methodologies for data mining such as rough sets, rough fuzzy hybridization, granular computing, artificial neural networks, and genetic algorithms. Appendixes describe soft computing methodologies and supply data sets for experimentation.
Annotation 2004 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Pattern Recognition Algorithms for Data Mining addresses pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Product Details

ISBN:
9781584884576
Author:
Pal, Sankar K.
Publisher:
CRC Press
Author:
Mitra, Pabitra
Author:
Pal, Pal K.
Location:
Boca Raton, FL
Subject:
Database Management - General
Subject:
Data mining
Subject:
Pattern recognition systems
Subject:
Computer algorithms
Subject:
Database Management - Database Mining
Subject:
Artificial Intelligence - General
Subject:
Granular computing
Subject:
Advanced
Subject:
Computers-Reference - General
Series:
Chapman & Hall/CRC Computer Science & Data Analysis
Series Volume:
3
Publication Date:
20040531
Binding:
Paperback
Language:
English
Illustrations:
Y
Pages:
276
Dimensions:
9.46x6.46x.81 in. 1.16 lbs.

Related Subjects

Business » Communication
Business » General
Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » Algorithms
Science and Mathematics » Mathematics » General

Pattern Recognition Algorithms for Data Mining New Hardcover
0 stars - 0 reviews
$137.95 In Stock
Product details 276 pages Chapman & Hall/CRC - English 9781584884576 Reviews:
"Synopsis" by , Pattern Recognition Algorithms for Data Mining addresses pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.
spacer
spacer
  • back to top

FOLLOW US ON...

     
Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.