Business intelligence, analytics, and data science : a managerial perspective / Ramesh Sharda, Dursun Delen & Efraim Turban
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781292220543
- 1292220546
- HD 38.7 S52B 2018
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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SPU Library, Chonburi campus | General Books (ENGLISH) | Floor 3: General Shelves (FOREIGN LANGUAGE) | HD 38.7 S52B 2018 (Browse shelf(Opens below)) | Available | B009164 |
with contributions to previous editions by, J.E. Aronson, Ting-Peng Liang, David King
An overview of business intelligence, analytics, and data science pp. 29-78 -- Descriptive analytics I: Nature of data, statistical modeling, and visualization pp. 79-152 -- Descriptive analytics II: Business intelligence and data warehousing pp. 153-214 -- Predictive analytics I: Data mining process, methods, and algorithms pp. 215-272 -- Predictive analytics II:Text, web, and social media analytics pp. 273-344 -- Predictive analytics: Optimization and simulation pp. 345-394 -- Big data concepts and tools pp. 395-442 -- Future trends, privacy and managerial considerations in analytics pp 443-492
For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
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