MARC details
| 000 -LEADER |
| fixed length control field |
01879cam a22002658i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20230911101719.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
191003s2020 enkad b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781108473989 |
| Qualifying information |
(hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Canceled/invalid ISBN |
9781108564175 |
| Qualifying information |
(epub) |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
Universiti Teknologi Brunei |
| Language of cataloging |
eng |
| Transcribing agency |
UTB |
| 084 ## - BOOK Call Number |
| Classification number |
QA76.9 ZAK 2020 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Zaki, Mohammed J., |
| Dates associated with a name |
1971- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Data mining and machine learning : |
| Remainder of title |
fundamental concepts and algorithms / |
| Statement of responsibility, etc. |
Mohammed J. Zaki, Wagner Meira, Jr. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc. |
New York : |
| Name of publisher, distributor, etc. |
Cambridge University Press, |
| Date of publication, distribution, etc. |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xii, 766 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm. |
| 500 ## - GENERAL NOTE |
| General note |
Revised edition of: Data mining and analysis. 2014. |
| 504 ## - Bibliography, Etc. Note |
| Bibliography, Etc. Note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Meira, Wagner, |
| Dates associated with a name |
1967- |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Local Classification |
| Koha item type |
General Collection |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
| Internal field |
Book |
| CC (RLIN) |
834284 : 033889 c. 1 UTB |
| Internal field |
I-Bayan Venture Company |