Data mining methods and models / (Record no. 11133)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780471756484 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0471756482 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780471756477 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0471756474 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118868676 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1118868676 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780471666561 |
| Qualifying information | (print) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0471666564 |
| Qualifying information | (print) |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/0471756482 |
| Source of number or code | doi |
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| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 110527837 |
| Source of stock number/acquisition | Wiley InterScience |
| Note | http://www3.interscience.wiley.com |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | AD276CF7-3836-405A-9ACE-537E7EBE4A7D |
| Source of stock number/acquisition | OverDrive, Inc. |
| Note | http://www.overdrive.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.D343 |
| Item number | L378 2006 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 084010 |
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| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 021000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 030000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Edition number | 22 |
| 084 ## - OTHER CLASSIFICATION NUMBER | |
| Classification number | 54.64 |
| Number source | bcl |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Larose, Daniel T., |
| Relator term | author |
| Relationship | aut |
| 245 10 - TITLE STATEMENT | |
| Title | Data mining methods and models / |
| Statement of responsibility, etc. | Daniel T. Larose. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer | Wiley-Interscience, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2006] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | �2006 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xvi, 322 pages) : |
| Other physical details | illustrations |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 00 - FORMATTED CONTENTS NOTE | |
| Miscellaneous information | 1. |
| Title | DIMENSION REDUCTION METHODS. |
| -- | Need for Dimension Reduction in Data Mining. |
| -- | Principal Components Analysis. |
| -- | Factor Analysis. |
| -- | User-Defined Composites -- |
| Miscellaneous information | 2. |
| Title | REGRESSION MODELING. |
| -- | Example of Simple Linear Regression. |
| -- | Least-Squares Estimates. |
| -- | Coefficient of Determination. |
| -- | Standard Error of the Estimate. |
| -- | Correlation Coefficient. |
| -- | ANOVA Table. |
| -- | Outliers, High Leverage Points, and Influential Observations. |
| -- | Regression Model. |
| -- | Inference in Regression. |
| -- | Verifying the Regression Assumptions. |
| -- | Example: Baseball Data Set. |
| -- | Example: California Data Set. |
| -- | Transformations to Achieve Linearity -- |
| Miscellaneous information | 3. |
| Title | MULTIPLE REGRESSION AND MODEL BUILDING. |
| -- | Example of Multiple Regression. |
| -- | Multiple Regression Model. |
| -- | Inference in Multiple Regression. |
| -- | Regression with Categorical Predictors. |
| -- | Multicollinearity. |
| -- | Variable Selection Methods. |
| -- | Application of the Variable Selection Methods. |
| -- | Mallows' Cp Statistic. |
| -- | Variable Selection Criteria. |
| -- | Using the Principal Components as Predictors -- |
| Miscellaneous information | 4. |
| Title | LOGISTIC REGRESSION. |
| -- | Simple Example of Logistic Regression. |
| -- | Maximum Likelihood Estimation. |
| -- | Interpreting Logistic Regression Output. |
| -- | Inference: Are the Predictors Significant?. |
| -- | Interpreting a Logistic Regression Model. |
| -- | Assumption of Linearity. |
| -- | Zero-Cell Problem. |
| -- | Multiple Logistic Regression. |
| -- | Introducing Higher-Order Terms to Handle Nonlinearity. |
| -- | Validating the Logistic Regression Model. |
| -- | WEKA: Hands-on Analysis Using Logistic Regression -- |
| Miscellaneous information | 5. |
| Title | NAIVE BAYES ESTIMATION AND BAYESIAN NETWORKS. |
| -- | Bayesian Approach. |
| -- | Maximum a Posteriori Classification. |
| -- | Na�ive Bayes Classification. |
| -- | WEKA: Hands-on Analysis Using Naive Bayes. |
| -- | Bayesian Belief Networks. |
| -- | WEKA: Hands-On Analysis Using the Bayes Net Classifier -- |
| Miscellaneous information | 6. |
| Title | GENETIC ALGORITHMS. |
| -- | Introduction to Genetic Algorithms. |
| -- | Basic Framework of a Genetic Algorithm. |
| -- | Simple Example of a Genetic Algorithm at Work. |
| -- | Modifications and Enhancements: Selection. |
| -- | Modifications and Enhancements: Crossover. |
| -- | Genetic Algorithms for Real-Valued Variables. |
| -- | Using Genetic Algorithms to Train a Neural Network. |
| -- | WEKA: Hands-on Analysis Using Genetic Algorithms -- |
| Miscellaneous information | 7. |
| Title | CASE STUDY: MODELING RESPONSE TO DIRECT MAIL MARKETING. |
| -- | Cross-Industry Standard Process for Data Mining. |
| -- | Business Understanding Phase. |
| -- | Data Understanding and Data Preparation Phases. |
| -- | Modeling and Evaluation Phases. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Print version record and online resource; title from PDF title page (IEEE Xplore, viewed March 14, 2014). |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Mining |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Exploration de donn�ees (Informatique) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | Desktop Applications |
| -- | Databases. |
| Source of heading or term | bisacsh |
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| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | Database Management |
| -- | General. |
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| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | System Administration |
| -- | Storage & Retrieval. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| Source of heading or term | fast |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Electrical and Electronics Engineering |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | Data Mining Methods and Models (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCGGwRdch76W8PT3JbmbbFq |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Larose, Daniel T. |
| Title | Data mining methods and models. |
| Place, publisher, and date of publication | Hoboken, NJ : Wiley-Interscience, �2006 |
| International Standard Book Number | 0471666564 |
| -- | 9780471666561 |
| Record control number | (DLC) 2005010801 |
| -- | (OCoLC)59223748 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/0471756482">https://onlinelibrary.wiley.com/doi/book/10.1002/0471756482</a> |
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