PYTHIA-II: A Knowledge Discovery in Databases System for Managing Performance Data and Recommending Scientific Software
Elias N. Houstis, Ann C. Catlin, John R. Rice, Vassilis S. Verykios, Naren Ramakrishnan · Purdue e-Pubs (Purdue University System) · 1999
Very often scientists are faced with the task of locating appropriate solution soft.ware for their problems and then selecting from among many alternatives.We have previously proposed an approach for dealing with this task by processing performance data of the targeted software.This approach has been tested using a customized implementation referred to as PYTHIA.This experience made us realize the high level of complexity involved in the algorithmic discovery of knowledge from performance data and the management of these data together with the discovered knowledge.To address this issue, we present in this paper PYTHIA-IIa modular framework and system which combines a general J..71owledge discovery in databa.ses(KDD) methodology and recommender system technologies to provide