Data mining : (Record no. 10742)

MARC details
000 -LEADER
fixed length control field 03178nam a22002537a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250225b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128043578
040 ## - CATALOGING SOURCE
Original cataloging agency AR-FvUNAJ
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 21236
Personal name Witten, Ian H.
245 10 - TITLE STATEMENT
Title Data mining :
Remainder of title practical machine learning tools and techniques /
Statement of responsibility, etc Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
250 ## - EDITION STATEMENT
Edition statement 4a.ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge, MA, United States :
Name of publisher, distributor, etc Morgan Kaufmann,
Date of publication, distribution, etc 2017.
300 ## - PHYSICAL DESCRIPTION
Extent xxxii, 621 p.
500 ## - GENERAL NOTE
General note Descargar, imprimir, guardar y enviar por correo electrónico hasta 40 páginas permitidas.<br/>Descarga completa del libro electrónico. Debe tener instalado Adobe Digital Editions para leer el eBook.<br/>
520 ## - SUMMARY, ETC.
Summary, etc Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the bookOnline Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the bookTable of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projectsPresents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsIncludes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interfaceIncludes open-access online courses that introduce practical applications of the material in the book
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 9478
Topical term or geographic name as entry element MINERIA DE DATOS
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 21244
Personal name Frank, Eibe
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 21245
Personal name Hall, Mark A.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 21246
Personal name Pal, Christopher J.
856 ## - ELECTRONIC LOCATION AND ACCESS
Public note Ingresa con la contraseña de EBSCO
Uniform Resource Identifier <a href="https://research.ebsco.com/c/6n4nn2/search/details/kzzsvcay75?db=nlebk&limiters=None&q=Data%20mining">https://research.ebsco.com/c/6n4nn2/search/details/kzzsvcay75?db=nlebk&limiters=None&q=Data%20mining</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Libro electrónico
980 ## - EQUIVALENCE OR CROSS-REFERENCE-SERIES STATEMENT--PERSONAL NAME/TITLE [LOCAL, CANADA]
Linkage 2
Personal name Virginia Figueroa
Field link and sequence number 2
Miscellaneous information Virginia Figueroa
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 Coded location qualifier Full call number Date last seen Price effective from Koha item type
    Dewey Decimal Classification     EBSCO Bibliotecas Digitales Bibliotecas Digitales 25/02/2025 Compra 83.94 Pedir Usuario Ebsco 25/02/2025 25/02/2025 Libro electrónico

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