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C loud computing enables a new business model that supports on-demand, pay-for-use, and economies of scale IT services over the Internet. The Internet cloud works as a service factory built around virtual-ized data centers. 1 Cloud platforms are dynamically built through virtualization with provisioned hardware, software, networks, and datasets. The idea is(More)
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classii-cation, and prediction. By incorporating several interesting data mining techniques, including(More)
The widely use of GPS-enabled devices has provided us amount of trajectories related to individuals' activities. This gives us an opportunity to learn more about the users' daily lives and offer optimized suggestions to improve people's trip styles. In this paper, we mine regular routes from a users' historical trajectory dataset, and provide ridesharing(More)
Traditional measurements provide an effective tool to study the complex large systems in the real world. These global quantities only analyze the general statistical properties and interconnectivity structure of the entire network. However the complicated interactions among the locals are indeed the origin to emergent complex behavior. So in this paper we(More)
Real world data sets usually have many features, which increases the complexity of data mining task. Feature selection, as a prepro-cessing step to the data mining, has been shown very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving comprehensibility. To find the optimal feature subsets is the aim(More)