Internet-scale pattern recognition : (Record no. 90935)

MARC details
000 -LEADER
fixed length control field 02040nam a22002297a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230926b2013 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466510968
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 AMI-A
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Amin, Anang Hudaya Muhamad
245 ## - TITLE STATEMENT
Title Internet-scale pattern recognition :
Remainder of title new techniques for voluminous data sets and data clouds /
Statement of responsibility, etc. Anang Hudaya Muhamad Amin, Asad I. Khan and Benny B. Nasution
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent 179 p.
500 ## - GENERAL NOTE
General note For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational models that address performance and scalability to achieve higher levels of reliability. It explores different ways of implementing pattern recognition using machine intelligence.<br/><br/>Based on the authors’ research from the past 10 years, the text draws on concepts from pattern recognition, parallel processing, distributed systems, and data networks. It describes fundamental research on the scalability and performance of pattern recognition, addressing issues with existing pattern recognition schemes for Internet-scale data deployment. The authors review numerous approaches and introduce possible solutions to the scalability problem.<br/><br/>By presenting the concise body of knowledge required for reliable and scalable pattern recognition, this book shortens the learning curve and gives you valuable insight to make further innovations. It offers an extendable template for Internet-scale pattern recognition applications as well as guidance on the programming of large networks of devices.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Web usage mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Khan, Asad I.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nasution, Benny B.
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad General Stack (For lending) 26/09/2023   006.312 AMI-A 47275 13/07/2024 26/09/2023 Books
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

© 2024 BITS-Library, BITS-Hyderabad, India.