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Data Analytics for Business Intelligence: A Multi-Industry Approach [Kietas viršelis]

(PNG University of Technology)
  • Formatas: Hardback, 437 pages, aukštis x plotis: 234x156 mm, weight: 453 g, 14 Tables, black and white; 47 Line drawings, black and white; 7 Halftones, black and white; 54 Illustrations, black and white
  • Išleidimo metai: 30-Dec-2024
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 1032585331
  • ISBN-13: 9781032585338
Kitos knygos pagal šią temą:
Data Analytics for Business Intelligence: A Multi-Industry ApproachDidesnis paveikslėlis
  • Formatas: Hardback, 437 pages, aukštis x plotis: 234x156 mm, weight: 453 g, 14 Tables, black and white; 47 Line drawings, black and white; 7 Halftones, black and white; 54 Illustrations, black and white
  • Išleidimo metai: 30-Dec-2024
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 1032585331
  • ISBN-13: 9781032585338
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781032585338.html
Raktažodžiai:

This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics and intelligence.

The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, intelligence and reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management and decision making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (Descriptive, diagnostic, predictive, and prescriptive) computing and analytics.

A useful resource with multi-industry applications for scientists, engineers, data analysts, educators and university students.



This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics and intelligence. A useful resource with multi-industry applications for scientists, engineers, data analysts, educators and university students.

Recenzijos

"Artificial intelligence and big data analytics are moving targets because new research is published daily the benefit of this book is it will remain valid because it covers the philosophy, the Boolean logic of why decision-makers should use software in strategic planning."

Kenneth David Strang, Business School Professor, University of the Cumberlands, Program Director, W3-Research, USA

"Professor Sun masterfully brings together theory and practice related to artificial intelligence, reasoning, business analytics and information systems into a coherent whole. This provides a refreshing holistic perspective in a most accessible form and will be of interest to academics, students and business leaders."

Andrew Stranieri, Associate Professor, Federation University Australia, Australia

"I have known Professor Zhaohao Sun for over 15 years and watched with great admiration his very considerable research output and deep insights in a variety of areas including data analytics, decision-making, and artificial intelligence. His writing style is enjoyable to read and I strongly endorse this book."

Sidney A. Morris, Adjunct Professor, La Trobe University, Australia

1. Introduction.
2. Research Methodology.
3. Data.
4. Analytics.
5. Intelligence.
6. Data Intelligence.
7. Data Analytics.
8. Analytics Intelligence.
9. Data, Analytics, and Intelligence: A Unified Approach.
10. Business Intelligence.
11. Conclusion.

Zhaohao Sun is a Full Professor of Information Technology at Papua New Guinea University of Technology. He has held academic positions in China, Germany, and Australia. Dr. Sun is the author of twelve books and numerous academic publications. His current interests include big data, artificial intelligence, and business intelligence. Dr. Sun is a senior member of the Institute of Electrical and Electronic Engineers and the Australian Computer Society.