Business Intelligence : Data Mining and Optimization for Decision Making (Record no. 26690)
| 000 -LEADER | |
|---|---|
| fixed length control field | 02034nam a22001577a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9788126541881 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4038 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Vercellis, Carlo |
| 245 ## - TITLE STATEMENT | |
| Title | Business Intelligence : Data Mining and Optimization for Decision Making |
| Statement of responsibility | Carlo Vercellis |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Delhi |
| Name of publisher | John Wiley and Sons |
| Year of publication | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xviii,417 Pages |
| Other physical details | 23x15 cm |
| -- | PB |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Include Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: -Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.-Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.-Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.-Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining |
| -- | Decision making--Mathematical models |
| -- | Business intelligence |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Garrison Public Library Multan | Garrison Public Library Multan | General Stacks | 2017-04-04 | CRV/GPLM/Pak Book | 658.4038 V473B 2013 | 32259 | Books |