Handbook of statistical analysis and data mining applications (Record no. 51437)

MARC details
000 -LEADER
fixed length control field 02352cam a22002897i 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISURa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171116s2018 enkacd b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780124166325
International Standard Book Number 0124166326
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English Language
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number HAN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nisbet, Robert
9 (RLIN) 72519
245 10 - TITLE STATEMENT
Title Handbook of statistical analysis and data mining applications
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London, United Kingdom
Name of publisher, distributor, etc Academic Press, an Imprint of Elsevier
Date of publication, distribution, etc 2018
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 792 p.
Other physical details Colour illustration
Dimensions 25 cm
500 ## - GENERAL NOTE
General note History of phases of data analysis, basic theory, and the data mining process --<br/>The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining --<br/>Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses --<br/>Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.
520 ## - SUMMARY, ETC.
Summary, etc Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas-from science and engineering, to medicine, academia and commerce.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining -Statistical methods.
9 (RLIN) 72520
Topical term or geographic name as entry element COMPUTERS -- General.
9 (RLIN) 67663
Topical term or geographic name as entry element Exploration de données (Informatique) -- Méthodes statistiques.
9 (RLIN) 72521
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Miner, Gary
9 (RLIN) 72522
Personal name Yale, Ken
9 (RLIN) 72523
Personal name Elder, John F.
9 (RLIN) 72524
Personal name Peterson, Andrew F.
9 (RLIN) 72525
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Lending Books
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 Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Public note
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 03/05/2019 20909.76   006.312 HAN 112982 17/06/2019 113.64 17/06/2019 Lending Books $113.64