Data mining methods and models / (Record no. 73713)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04811nam a2200913 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5201921 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712205556.0 |
| 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 | |
| -- | |
| 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. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Data mining. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://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. |
| 695 ## - | |
| -- | Logistics |
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| -- | Mathematical model |
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| -- | Matrices |
| 695 ## - | |
| -- | Maximum likelihood estimation |
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| -- | Postal services |
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| -- | Predictive models |
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| -- | Principal component analysis |
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| -- | Proteins |
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| -- | Sugar |
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| -- | Wheels |
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| -- | Adaptation model |
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| -- | Analytical models |
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| -- | Approximation methods |
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| -- | Bayesian methods |
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| -- | Biological cells |
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| -- | Business |
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| -- | Cloning |
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| -- | Clothing |
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| -- | Companies |
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| -- | Computational modeling |
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| -- | Computer aided software engineering |
| 695 ## - | |
| -- | Correlation |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | DNA |
| 695 ## - | |
| -- | Data mining |
| 695 ## - | |
| -- | Data models |
| 695 ## - | |
| -- | Data visualization |
| 695 ## - | |
| -- | Diseases |
| 695 ## - | |
| -- | Eigenvalues and eigenfunctions |
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| -- | Equations |
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| -- | Estimation |
| 695 ## - | |
| -- | Gallium |
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| -- | Genetic algorithms |
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| -- | Indexes |
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| -- | Least squares approximation |
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| -- | Linear regression |
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