Driving Modern Business Intelligence Architecture for Operational Efficiency
Language: English
Published by IGI Global, US, 2025
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 196.50
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- Title
- Driving Modern Business Intelligence Architecture for Operational Efficiency
- Author
- Ishtaiwi, Abdelraouf
- Publisher
- IGI Global, US
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798337321264
"Synopsis" may belong to another edition of this title.
About the Author
Ahmad Al-Qerem graduated in applied mathematics and M.Sc. in Computer Science at the Jordan University of Science and Technology and Jordan University in 1997 and 2002, respectively. After that, he was appointed as full-time lecturer at the Zarqa University. He was a visiting professor at Princess Sumaya University for Technology (PSUT). He obtained a Ph.D. from Loughborough University, UK. His research interests are in performance and analytical modeling, mobile computing environments, protocol engineering, communication networks, transition to IPv6, machine learning and transaction processing. He has published several papers in various areas of computer science. Currently, he has a full academic post as a full professor at computer science department at Zarqa University-Jordan.
Mohammad Ali Al Khaldy is Assistant professor in Business Intelligence and Data Analytics at University of Petra. He earned his B.Sc. in Computer Science from Al-al-Bayt University in 2003, followed by an M.Sc. in Computer Science from Amman Arab University in 2005, then in 2017 he earned a Ph.D. from Hull University, U.K., in the field of AI and Data Science. His research interests include data analytics, machine learning, predictive analytics, NLP, and decision support systems. His work has been published in toptier journals. Dr Alkhaldy taught a variety of courses in artificial intelligence and business intelligence, including data mining, business analytics, computer programming, intelligent business systems, data visualization, and machine learning. He is a member of Jordan Computers Society, and Arab Robotics and AI Association. He also serves on the Editorial Board of International Journal of Engineering and Artificial Intelligence (IJEA) and is an occasional reviewer for several other academic conferences and journals such as the International Conference on Information Technology (ICIT).
Mohammad Alauthman is an Associate Professor in the Information Security Department at the Faculty of Information Technology, University of Petra, Amman, Jordan. His research interests include network security, intrusion detection systems, and applying AI techniques―such as machine learning and deep learning―for botnet and DDoS detection, spam filtering, IoT security, and network traffic classification. He earned his Ph.D. in Computer Science from Northumbria University, UK, in 2016. Dr. Alauthman has received multiple research grants supporting advanced AI-driven intrusion detection systems and international collaboration. He is also actively involved in Erasmus+ projects, including BITTCOIN-JO (technology transfer), RL4Eng (remote engineering labs), Pro-GREEN LABs (green competences in education), and COMMO (mobility and cooperation across Mediterranean and Balkan institutions), contributing to innovation, sustainability, and cross-border academic development.
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