Bio-Inspired Computing for Information Retrieval Applications
| PUBLISHER | Information Science Reference (02/14/2017) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.
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Product Format
Product Details
ISBN-13:
9781522523758
ISBN-10:
1522523758
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
420
Carton Quantity:
9
Product Dimensions:
7.00 x 0.94 x 10.00 inches
Weight:
2.07 pound(s)
Feature Codes:
Bibliography,
Index
Country of Origin:
US
Subject Information
BISAC Categories
Computers | System Administration - Storage & Retrieval
Computers | Artificial Intelligence - General
Computers | Data Science - Data Modeling & Design
Dewey Decimal:
005.74
Library of Congress Control Number:
2017000184
Descriptions, Reviews, Etc.
publisher marketing
The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.
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List Price $205.00
Your Price
$202.95
