Ensuring serializability for mobile data mining on multimedia objects

Authors:
Shin Parker;Zhengxin Chen;Eugene Sheng
Affiliations:
Department of Computer Science, University of Nebraska at Omaha, Omaha, NE;Department of Computer Science, University of Nebraska at Omaha, Omaha, NE;Department of Computer Science, Northern Illinois University, DeKalb, IL
Venue:
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Year:
2004

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Abstract

Data mining usually is considered as application tasks conducted on the top of database management systems. However, this may not always be true. To illustrate this, in this article we examine the issue of conduct data mining in mobile computing environments, where multiple physical copies of the same data object in client caches may exist at the same time with the server as the primary owner of all data objects. By demonstrating what can be mined in such an environment, we point out the important connection of data mining with database implementation. This leads us to take a look at the issue of extending traditional invalid-access prevention policy protocols, which are needed to ensure serializability involving data updates in mobile environments. Furthermore, we provide examples to illustrate how such kind of research can shed light on mobile data mining.