Business intelligence, analytics, data science, and AI [electronic resource]/ Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii.
Material type:
TextPublisher: [United States] : Pearson, [2024]Edition: Fifth editionDescription: 1 digital resource (xxx, 695 pages) illustrations 26 cmContent type: - text
- unmediated
- volume
- 9780137931286
- 658.472 SHA 23/eng/20230522
- HD38.7 .B8714 2024
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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Books
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CamTech Library | General Collections | 658.472 SHA (Browse shelf(Opens below)) | C.1 | Checked out | 09/30/2026 | 0000002970 |
Includes bibliographical references and index.
An overview of business intelligence, analytics, and data science -- Descriptive analytics I : nature of data, statistical modeling, and visualization -- Descriptive analytics II : business intelligence and data warehousing -- Predictive analytics I : data mining process, methods, and algorithms -- Predictive analytics II : text, web, and social media analytics -- Prescriptive analytics : optimization and simulation -- Big data concepts and tools -- Future trends, privacy and managerial considerations in analytics.
"Analytics, Data Science, and Artificial Intelligence (AI) have become the technology drivers of today. All major companies and organizations are creating new organizational units focused on analytics to help them become more effective and efficient in their operations. Decision makers are using more computerized tools to support their work, and even consumers are using analytics tools, either directly or indirectly, to make decisions on routine activities such as shopping, health/healthcare, travel, and entertainment"-- Provided by publisher.
English
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