PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software
Elias N. Houstis, Ann C. Catlin, John R. Rice, Vassilios S. Verykios, Naren Ramakrishnan, Catherine E. Houstis · 2002
Very often scientists are faced with the task of locating appropriate solution software 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-II --- a modular framework and system which combines a general knowledge discovery in databases (KDD) methodology and recommender system technologies to provide 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 Foundation. 2 advice a...