Ranking discovered rules from data mining with multiple criteria by data envelopment analysis

"Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values," Data Mining and Knowledge Discovery, Vol. “Density-Based Clustering in

Following the supply by the school of a copy of personal data in compliance with a data access request, the requestor is entitled to ask for correction of the personal data

We showed that the BCDM is a unifying model in that conceptual instances could be mapped into instances of five existing bitemporal representational data models: a first normal

In our AI term project, all chosen machine learning tools will be use to diagnose cancer Wisconsin dataset.. To be consistent with the literature [1, 2] we removed the 16

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• If we want analysis with amortized costs to show that in the worst cast the average cost per operation is small, the total amortized cost of a sequence of operations must be

Since the sink is aware of the location of the interested area, simple greedy geographic routing scheme is used to send a data request (in the form of

We try to explore category and association rules of customer questions by applying customer analysis and the combination of data mining and rough set theory.. We use customer