animation, as well as scientific, medical, and engineering diagnostic and design tools. Traditionally, these applications have been manually partitioned into distributed components to take advantage of remote computational resources, while still providing low-latency user interaction. Instead, Snowbird lets

their respective owners.

their respective owners.

Abstract—Contrast set mining has been developed as a data mining task which aims at discerning differences across groups. These groups can be patients, organizations, molecules, and even time-lines. A valid contrast set is a conjunction of attribute-value pairs that differ significantly in their distribution across groups. The search for valid contrast sets can produce a prohibitively large number of results which must be further filtered in order to be examined by a domain expert and have decisions enacted from them. In this paper, we introduce the notion of the minimum support ratio threshold to measure the ratio of maximum and minimum support across groups. We propose a contrast set mining technique to discover maximal valid contrast sets which meet a minimum support ratio threshold. We also introduce five interestingness measures and demonstrate how they can be used to rank contrast sets. Our experiments on real datasets demonstrate the efficiency and effectiveness of our approach, and the interestingness of the contrast sets discovered. Keywords-contrast set mining; group differences; data mining. I.

, planetary rover exploration and spacecraft control domains. Other temporal and resource-intensive domains including logistics planning, plant control and manufacturing have also helped to focus the community on the modelling and reasoning issues that must be confronted to make planning technology meet

Abstract not found

Abstract not found

We describe an operating system architecture that securely multiplexes machine resources while permitting an unprecedented degree of application-specific customization of traditional operating system abstractions. By abstracting physical hardware resources, traditional operating systems have

A new vision of mobile computing liberates mobile devices from severe resource constraints by enabling resource-intensive applications to leverage cloud computing free of WAN delays, jitter, congestion, and failures.

A new vision of mobile computing liberates mobile devices from severe resource constraints by enabling resource-intensive applications to leverage cloud computing free of WAN delays, jitter, congestion, and failures.