Principles of data mining (Record no. 2630)

MARC details
000 -LEADER
fixed length control field 02359nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220630155044.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220630b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447174929
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number BRA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bramer, Max
245 ## - TITLE STATEMENT
Title Principles of data mining
250 ## - EDITION STATEMENT
Edition statement 4th
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Switzerland
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 571 p.
365 ## - TRADE PRICE
Price type code EURO
Price amount 44.99
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.<br/><br/>Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.<br/><br/>It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.<br/><br/>As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.<br/>Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.<br/><br/>Principles of Data Mining includes descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.<br/><br/>The expanded fourth edition gives a detailed description of a feed-forward neural network with backpropagation and shows how it can be used for classification.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information storage and retrieval systems
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB608 04-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 06/30/2022 Technical Bureau India Pvt. Ltd. 2543.96   006.312 BRA 002543 06/30/2022 1 3869.14 06/30/2022 Book

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