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Data clustering is one of the powerful techniques for the knowledge discovery from data. In this paper, a novel approach for hierarchical clustering has been proposed over non-binary search space. Besides the agglomerative methods, the proposed algorithm has considered the Strength of Presence associated with each transaction, to yield quality clusters which are again more close to the real life situation...
Putting the processor into shutdown state when it is idling is one of the primary methodologies towards the reduction of energy consumption in today's systems where leakage power is emerging as a dominant concern. This paper presents ERfair Scheduler with Processor Shutdown (ESPS), a uniprocessor ERfair scheduler that attempts to minimize energy consumption in rate-based periodic real-time task systems...
Association rule induction is a powerful data mining method, used to analyze the regularities in data trends by finding the frequent itemset and association between items or set of items. Several research attempts have been done for the purpose based on the binary data space. In this paper an algorithm has been proposed for the same purpose but based on the non-binary data space. The algorithm is...
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