* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology.
* Covers research and application issues in applying computational intelligence applications to mobile computing
* Delivers benefits to a wide range of applications
* Introduces the state of the art of computational intelligence to the mobile paradigm
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LAURENCE T. YANG is a Professor in the Department of Computer Science, St. Francis Xavier University, Canada.
AGUSTINUS BORGY WALUYO is a Researcher at the Centre for Distributed Systems and Software Engineering, Mobility Lab, Monash University, Australia.
JIANHUA MA is a Professor in the Faculty of Computer and Information Sciences of Hosei University, Japan.
LING TAN is a Research Fellow at the Assessment and Reporting division of the Australian Council for Educational Research.
BALA SRINIVASAN is a Professor of Information Technology and head of the Clayton School of Information Technology in the Faculty of Information Technology, Monash University, Australia.
CUTTING-EDGE RESEARCH AND APPLICATION ISSUES ON COMPUTATIONAL INTELLIGENCE IN THE MOBILE ENVIRONMENT
The combination of mobile computing and computational intelligence, Mobile Intelligence focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. As a very new area of research, mobile intelligence has created a wide range of opportunities for researchers, engineers, and developers to create new applications for both end users and businesses. Mobile Intelligence covers the comprehensive state-of-the-art in various applications of computational intelligence to the mobile paradigm, including mobile data intelligence, mobile mining, mobile intelligence security, mobile agent, location-based mobile information services, mobile context-aware and applications, intelligent networks, and mobile multimedia. Readers will not only learn different areas of mobile computing and its issues but also various intelligent approaches that contribute in addressing these issues, as well as discover other potential elements in the mobile paradigm.
Mobile Intelligence is geared for upper-level undergraduate and graduate students in computer science and data mining courses, as well as telecommunication engineers,??mobile communication and networking engineers,??computer scientists, computer engineers, mobile database specialists, and data mining specialists.
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