This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Software distributed shared memory (DSM) improves the programmability of message-passing machines and workclusters by providing a shared memory abstract (i.e., a coherent global a...
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. This system aims to assist users in retrieving data for business analysis in...