An Intelligent Assistant for the Knowledge Discovery Process

7 Pages Posted: 13 Oct 2008

See all articles by Abraham Bernstein

Abraham Bernstein

University of Zurich - Dynamic and Distributed Information Systems Group

Foster Provost

New York University

Date Written: 2001

Abstract

A knowledge discovery (KD) process involves pre- data, choosing a data-mining algorithm, and postprocessing the mining results. There are very manychoices for each of these stages, and non-trivial interactions between them. Consequently, both novicesand data-mining specialists need assistance in navigating the space of possible KD processes. We present the concept of Intelligent Discovery Assistants (IDAs), which provide users with (i) systematic enu- merations of valid KD processes, so important, potentially fruitful options are not overlooked, and (ii) effective rankings of these valid processes by differentcriteria, to facilitate the choice of KD processes toexecute. We use a prototype to show that an IDA canindeed provide useful enumerations and effective rankings.

Suggested Citation

Bernstein, Abraham and Provost, Foster, An Intelligent Assistant for the Knowledge Discovery Process (2001). NYU Working Paper No. 2451/14155, Available at SSRN: https://ssrn.com/abstract=1282997

Abraham Bernstein (Contact Author)

University of Zurich - Dynamic and Distributed Information Systems Group ( email )

Plattenstrasse 14
Zurich
Switzerland

Foster Provost

New York University ( email )

44 West Fourth Street
New York, NY 10012
United States

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