Data mining : (Record no. 1985)

MARC details
000 -LEADER
fixed length control field 01979cam a22003015i 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-CaNGU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240131134626.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231218t2017 ne a frb 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128042915
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency EG-CaNGU
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number WID
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Witten, I. H.,
Fuller form of name (Ian H.),
Relator term author.
9 (RLIN) 6030
245 10 - TITLE STATEMENT
Title Data mining :
Remainder of title practical machine learning tools and techniques /
250 ## - EDITION STATEMENT
Edition statement Fourth Edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Amsterdam, Netherlands :
Name of producer, publisher, distributor, manufacturer Morgan Kaufmann Publishers, Elsevier,
Date of production, publication, distribution, manufacture, or copyright notice [2017]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2017
300 ## - PHYSICAL DESCRIPTION
Extent xxxii, 621 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 00 - FORMATTED CONTENTS NOTE
Formatted contents note Part I: Introduction to data mining -- Chapter 1. What’s it all about? -- Chapter 2. Input: Concepts, instances, attributes -- Chapter 3. Output: Knowledge representation -- Chapter 4. Algorithms: The basic methods -- Chapter 5. Credibility: Evaluating what’s been learned -- Part II. More advanced machine learning schemes -- Chapter 6. Trees and rules -- Chapter 7. Extending instance-based and linear models -- Chapter 8. Data transformations -- Chapter 9. Probabilistic methods -- Chapter 10. Deep learning -- Chapter 11. Beyond supervised and unsupervised learning -- Chapter 12. Ensemble learning -- Chapter 13. Moving on: applications and beyond -- References -- Index.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
Source of heading or term NGU-sh
9 (RLIN) 3604
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Frank, Eibe,
Relator term author.
9 (RLIN) 6031
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hall, Mark A.,
Fuller form of name (Mark Andrew),
Relator term author.
9 (RLIN) 6032
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pal, Christopher J.,
Relator term author.
9 (RLIN) 6033
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Arrivals Code Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Information Technology Library D Library D 12/18/2023 Dar Al Fajr 1841.00 ITS202312 006.312 WID 1004638 08/14/2024 12/18/2023 Book Non-borrowing
    Dewey Decimal Classification     Information Technology Library D Library D 12/18/2023 Dar Al Fajr 1841.00 ITS202312 006.312 WID 1004639 08/14/2024 12/18/2023 Book