PYTHIA-II: A Knowledge/Database System for Managing Performance Data and Recommending Scientic Software

Very often scientists are faced with the task of locating appropriate solution software for their problems and then selecting from among many alternatives. In #Houstis et al. 1991# we had proposed an approach for dealing with this task by #processing# performance data of the targeted software. The validation of the approach is de# scribed in #Weerawarana et al. 1997# and realized by a customized implementation referred to as PYTHIA. This experience made us realize the high level of com# plexity involved in the algorithmic discovery of knowledge from performance data and the management of these data together with the discovered knowledge. To ad# dress this issue# we present in this paper PYTHIA#II # a system which combines a general knowledge discovery in databases #KDD# methodology and recommender This work was supported in part by NSF grant CDA 91#23502# PRF 6902851# DARPA grant N66001#97#C#8533 #Navy## DOE LG#6982# DARPA under ARO grant DAAH04#94#G#0010# and the Purdue Research Found..