Data Mining and Mobile Business Data

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Author(s): Richi Nayak (Queensland University of Technology, Australia)
Copyright: 2008
Pages: 7
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch167

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

Research and practices in mobile (m-) business have seen an exponential growth in the last decade (CNN, 2002; Leisen, 2000; McDonough, 2002; Purba, 2002). M-businesses allow users to access information, perform transactions and other operations from anywhere at anytime via wireless networks. Consequently, m-business applications are generating a large volume of complex data (Magic-sw, 2002). Monitoring and mining of this data can assist m-business operators to make sound financial and organisational decisions.

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