This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and sta...
Vlado Stankovski, Martin T. Swain, Valentin Kravts...
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...