Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
This paper describes the application of binary and multivalued SPFD-based wire removal techniques for circuit implementations utilizing networks of PLAs. It has been shown that a ...
Subarnarekha Sinha, Sunil P. Khatri, Robert K. Bra...
We describe the distributed high performance computing system we have developed to integrate together a heterogeneous set of high performance computers, high capacity storage syst...
Kenneth A. Hawick, Heath A. James, Kevin Maciunas,...
: The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...