Data mining for business intelligence: concepts, techniques and applications in Microsoft Office Excel with XLMiner (Record no. 327)
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|---|---|
| fixed length control field | 02311nam a2200205 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190903185752.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190903b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9788126517589 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.54 |
| Item number | SHM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shmueli, Galit |
| 245 ## - TITLE STATEMENT | |
| Title | Data mining for business intelligence: concepts, techniques and applications in Microsoft Office Excel with XLMiner |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Wiley India Pvt. Ltd. |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 279 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 849.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Foreword<br/><br/>Preface<br/><br/>Acknowledgments<br/><br/> <br/><br/>1. Introduction<br/><br/>2. Overview of the Data Mining Process<br/><br/>3. Data Exploration and Dimension Reduction<br/><br/>4. Evaluating Classification and Predictive Performance<br/><br/>5. Multiple Linear Regression<br/><br/>6. Three Simple Classification Methods<br/><br/>7. Classification and Regression trees<br/><br/>8. Logistic Regression<br/><br/>9. Neural Nets<br/><br/>10. Discriminant Analysis<br/><br/>11. Association Rules<br/><br/>12. Cluster Analysis<br/><br/>13. Cases<br/><br/>References<br/><br/>Index<br/><br/> <br/><br/> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Description<br/>This book arose out of a data mining course at MIT’s Sloan School of Management. Preparation for the course revealed that there are a number of excellent books on the business context of data mining, but their coverage of the statistical and machine learning algorithms and theoretical underpinnings is not sufficiently detailed to provide a practical guide for users who possess the raw skills and tools to analyze data. This book is intended for the business student (and practitioner) of data mining techniques, and the goal is threefold: (1) to provide both a theoretical and practical understanding of the key methods of classification, prediction, reduction and exploration that are at the heart of data mining; (2) to provide a business decision-making context for these methods; and (3) using real business cases and data, to illustrate the application and interpretation of these methods. The book employs the use of an Excel® add-in, XLMinerTM, at no cost to registered instructors, in order to illustrate and interpret the various data sets that are presented throughout. Real-life business cases are also presented so that readers can implement algorithms with a very low learning hurdle. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Patel, Nitin R. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type | Total Renewals | Checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 1 | 005.54 SHM | 000018 | 03/02/2020 | 02/17/2020 | 1 | 849.00 | 09/03/2019 | Book | ||||||
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 5 | 005.54 SHM | 000019 | 02/22/2021 | 02/20/2021 | 2 | 849.00 | 09/03/2019 | Book | 1 | |||||
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 005.54 SHM | 000020 | 09/03/2019 | 3 | 849.00 | 09/03/2019 | Book | ||||||||
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 2 | 005.54 SHM | 000021 | 07/26/2021 | 07/26/2021 | 4 | 849.00 | 09/03/2019 | Book | 1 | 10/24/2021 | ||||
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 005.54 SHM | 000022 | 09/03/2019 | 5 | 849.00 | 09/03/2019 | Book | ||||||||
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 05/01/2019 | Gratis Book | 2 | 005.54 SHM | 000023 | 01/27/2021 | 01/21/2021 | 6 | 849.00 | 09/03/2019 | Book | 1 |