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Abstract: The Key Findings Reporter (KEFIR) is a system for discovering and explaining "key findings" in large, relational databases. This paper describes an application of KEFIR to the analysis of health-care information. The system performs an automatic analysis of data along multiple dimensions to determine the most interesting deviations of specific quantitative measures relative to norms and previous values. It explains key findings through their relationship to other findings in the data, and,... (Update)
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BibTeX entry: (Update)
@misc{ matheus-key,
author = "Christopher J. Matheus and Gregory Piatetsky-Shapiro and Dwight McNeill",
title = "Key Findings Reporter for Analysis of Health-Care Information",
url = "citeseer.ist.psu.edu/11784.html" }
Citations (may not include all citations):160 Knowledge Discovery in Databases (context) - Piatetsky-Shapiro, Frawley - 1991
149 TCL: An embeddable command language - Ousterhout - 1990
20 IEEE Transactions on Knowledge and Data Engineering (context) - Matheus, Chan et al. - 1993
9 SPOTLIGHT: A data explanation system (context) - Anand, Kahn - 1992
7 CoverStory -- automated news finding in marketing (context) - Schmitz, Armstrong et al. - 1990
1 A comprehensive set of performance measures to evaluate mana.. (context) - McNeill - 1993
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