Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
Useful measurement data is badly needed to help monitor and control large networks. Current approaches to solving measurement problems often assume minimal support from routers and...
Abstract. Recent studies demonstrating the existence of special non-coding "antisense" RNAs used in post-transcriptional gene regulation have received considerable attent...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...