Data mining and business analytics with R / (Record no. 63863)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-SySUS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20170713221324.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130118s2013 nju ob 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2013002488 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
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| Transcribing agency | DLC |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118596289 |
| Qualifying information | electronic bk. |
| International Standard Book Number | 1118596285 |
| Qualifying information | electronic bk. |
| International Standard Book Number | 9781118593745 |
| Qualifying information | electronic bk. |
| International Standard Book Number | 111859374X |
| Qualifying information | electronic bk. |
| International Standard Book Number | 9781118572153 |
| Qualifying information | electronic bk. |
| International Standard Book Number | 1118572157 |
| Qualifying information | electronic bk. |
| Canceled/invalid ISBN | 9781118572221 |
| Canceled/invalid ISBN | 111857222X |
| Canceled/invalid ISBN | 9781118447147 |
| Qualifying information | (cloth) |
| Canceled/invalid ISBN | 111844714X |
| Qualifying information | (cloth) |
| 028 01 - PUBLISHER NUMBER | |
| Publisher number | EB00063900 |
| Source | Recorded Books |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
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| OCLC library identifier | NZ1 |
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| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)824686642 |
| Canceled/invalid control number | (OCoLC)847348402 |
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| -- | (OCoLC)855115737 |
| -- | (OCoLC)864915196 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 0B305E2E-E901-4EAB-9139-89A2D33817FF |
| Source of stock number/acquisition | OverDrive, Inc. |
| Note | http://www.overdrive.com |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.D343 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 021030 |
| Source | bisacsh |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/12 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ledolter, Johannes. |
| 245 10 - TITLE STATEMENT | |
| Title | Data mining and business analytics with R / |
| Statement of responsibility, etc. | Johannes Ledolter, University of Iowa. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice | [2013] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 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 | Includes bibliographical references and index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Print version record and CIP data provided by publisher. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: * A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools * Illustrations of how to use the outlined concepts in real-world situations * Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials * Numerous exercises to help readers with computing skills and deepen their understanding of the material. Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- Processing the information and getting to know your data -- Standard linear regression -- Local polynomial regression: a nonparametric regression approach -- Importance of parsimony in statistical modeling -- Penalty-based variable selection in regression models with many parameters (LASSO) -- Logistic regression -- Binary classification, probabilities, and evaluating classification performance -- Classification using a nearest neighbor analysis -- The Naïve Bayesian analysis: a model predicting a categorical response from mostly categorical predictor variables -- Multinomial logistic regression -- More on classification and a discussion on discriminant analysis -- Decision trees -- Further discussion on regression and classification trees, computer software, and other useful classification methods -- Clustering -- Market basket analysis: association rules and lift -- Dimension reduction: factor models and principal components -- Reducing the dimension in regressions with multicollinear inputs: principal components regression and partial least squares -- Text as data: text mining and sentiment analysis -- Network data -- Appendices: A. Exercises -- B. References. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| Topical term or geographic name as entry element | R (Computer program language) |
| Topical term or geographic name as entry element | Commercial statistics. |
| Topical term or geographic name as entry element | COMPUTERS |
| General subdivision | Database Management |
| -- | Data Mining. |
| Source of heading or term | bisacsh |
| Topical term or geographic name as entry element | Commercial statistics. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst00869640 |
| Topical term or geographic name as entry element | Data mining. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst00887946 |
| Topical term or geographic name as entry element | R (Computer program language) |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst01086207 |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Ledolter, Johannes. |
| Title | Business analytics and data mining with R. |
| Place, publisher, and date of publication | Hoboken, New Jersey : John Wiley & Sons, Inc., [2013] |
| International Standard Book Number | 9781118447147 |
| Record control number | (DLC) 2013000330 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://onlinelibrary.wiley.com/book/10.1002/9781118596289">http://onlinelibrary.wiley.com/book/10.1002/9781118596289</a> |
| Public note | Wiley Online Library [Free Download only for SUST IP] |
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