Data mining for bioinformatics / (Record no. 23820)

MARC details
000 -LEADER
fixed length control field 03364cam a22003255i 4500
001 - CONTROL NUMBER
control field 17395163
003 - CONTROL NUMBER IDENTIFIER
control field EG-ScBUE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260311100716.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120720t2013 flua f b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780849328015
040 ## - CATALOGING SOURCE
Original cataloging agency EG-ScBUE
Language of cataloging eng
Description conventions rda
Transcribing agency EG-ScBUE
Modifying agency EG-ScBUE
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.330285
Item number DUA
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dua, Sumeet,
Relator term author.
245 10 - TITLE STATEMENT
Title Data mining for bioinformatics /
Statement of responsibility, etc Sumeet Dua, Pradeep Chowriappa.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton, FL :
Name of publisher, distributor, etc CRC Press / Taylor & Francis Group,
Date of publication, distribution, etc [2013]
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc c2013
300 ## - PHYSICAL DESCRIPTION
Extent xix, 328 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
Media type code n
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Data Mining for Bioinformatics enables researchers to meet the challenge of mining vast amounts of biomolecular data to discover real knowledge. Covering theory, algorithms, and methodologies, as well as data mining technologies, the book presents a thorough discussion of data-intensive computations used in data mining applied to bioinformatics. The book explains data mining design concepts to build applications and systems. It shows how to prepare raw data for the mining process and is filled with heuristics that speed the data mining process"--
520 ## - SUMMARY, ETC.
Summary, etc "PREFACE The flourishing field of bioinformatics has been the catalyst to transform biological research paradigms to extend beyond traditional scientific boundaries. Fueled by technological advancements in data collection, storage and analysis technologies in biological sciences, researchers have begun to increasingly rely on applications of computational knowledge discovery techniques to gain novel biological insight from the data. As we forge into the future of next-generation sequencing technologies, bioinformatics practitioners will continue to design, develop and employ new algorithms, that are efficient, accurate, scalable, reliable and robust to enable knowledge discovery on the projected exponential growth of raw data. To this end, data mining has been and will continue to be vital for analyzing large volumes of heterogeneous, distributed, semi-structured and interrelated data for knowledge discovery. This book is targeted to readers who are interested in the embodiments of data mining techniques, technologies and frameworks, employed for effective storing, analyzing, and extracting knowledge from large databases specifically encountered in a variety of bioinformatics domains, including but not limited to, genomics and proteomics. The book is also designed to give a broad, yet in-depth overview of the application domains of data mining for bioinformatics challenges. The sections of the book are designed to enable readers from both biology and computer science backgrounds gain an enhanced understanding of the cross-disciplinary field. In addition to providing an overview of the area discussed in Section 1, individual chapters of Sections 2, 3 and 4 are dedicated to key concepts of feature extraction, unsupervised learning, and supervised learning techniques"--
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
Source of heading or term BUEsh
9 (RLIN) 5545
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Source of heading or term BUEsh
9 (RLIN) 27695
653 ## - INDEX TERM--UNCONTROLLED
Resource For college Informatics and Computer Science
Arrived date list January2017
655 ## - INDEX TERM--GENRE/FORM
Form subdivision Reading book
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chowriappa, Pradeep,
Relator term author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book - Borrowing
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Serial Enumeration / chronology Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Scientific home BookShop Central Library Central Library First floor 03/01/2017 Purchase 795.00 2691   572.330285 DUA 000040738 15/07/2025 993.75 03/01/2017 Book - Borrowing