Data mining methods and models / (Record no. 59285)

000 -LEADER
fixed length control field 04778nam a2200913 i 4500
001 - CONTROL NUMBER
control field 5201921
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421114109.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151221s2006 njua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780471756484
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 04 - CLASSIFICATION NUMBER
Call Number 005.74
100 1# - AUTHOR NAME
Author Larose, Daniel T.,
245 10 - TITLE STATEMENT
Title Data mining methods and models /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xvi, 322 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Dimension reduction methods -- Regression modeling -- Multiple regression and model building -- Logistic regression -- Na�ive Bayes estimation and Bayesian networks -- Genetic algorithms -- Case study : modeling response to direct mail marketing.
520 ## - SUMMARY, ETC.
Summary, etc Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes a companion Web site, www.dataminingconsultant.com, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources. Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available onlne.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201921
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, New Jersey :
-- Wiley-Interscience,
-- c2006.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2006]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/21/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
695 ## -
-- Adaptation model
695 ## -
-- Analytical models
695 ## -
-- Approximation methods
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-- Bayesian methods
695 ## -
-- Biological cells
695 ## -
-- Business
695 ## -
-- Cloning
695 ## -
-- Clothing
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-- Companies
695 ## -
-- Computational modeling
695 ## -
-- Computer aided software engineering
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-- Correlation
695 ## -
-- Covariance matrix
695 ## -
-- DNA
695 ## -
-- Data mining
695 ## -
-- Data models
695 ## -
-- Data visualization
695 ## -
-- Diseases
695 ## -
-- Eigenvalues and eigenfunctions
695 ## -
-- Equations
695 ## -
-- Estimation
695 ## -
-- Gallium
695 ## -
-- Genetic algorithms
695 ## -
-- Indexes
695 ## -
-- Least squares approximation
695 ## -
-- Linear regression
695 ## -
-- Logistics
695 ## -
-- Mathematical model
695 ## -
-- Matrices
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-- Maximum likelihood estimation
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-- Postal services
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-- Predictive models
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-- Principal component analysis
695 ## -
-- Proteins
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-- Sugar
695 ## -
-- Wheels

No items available.