Faculty Digital Archive

Archive@NYU >
Stern School of Business >
IOMS: Information Systems Working Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14155

Title: AN INTELLIGENT ASSISTANT FOR THE KNOWLEDGE DISCOVERY PROCESS
Authors: Bernstein, Abraham
Provost, Foster
Issue Date: 2001
Publisher: Stern School of Business, New York University
Series/Report no.: IS-01-01
Abstract: A knowledge discovery (KD) process involves pre- data, choosing a data-mining algorithm, and postprocessing the mining results. There are very many choices for each of these stages, and non-trivial interactions between them. Consequently, both novices and 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 different criteria, to facilitate the choice of KD processes to execute. We use a prototype to show that an IDA can indeed provide useful enumerations and effective rankings.
URI: http://hdl.handle.net/2451/14155
Appears in Collections:IOMS: Information Systems Working Papers

Files in This Item:

File Description SizeFormat
IS-01-01.pdf2.58 MBAdobe PDFView/Open

Items in Faculty Digital Archive are protected by copyright, with all rights reserved, unless otherwise indicated.

 

The contents of the FDA may be subject to copyright, be offered under a Creative Commons license, or be in the public domain.
Please check items for rights statements. For information about NYU’s copyright policy, see http://www.nyu.edu/footer/copyright-and-fair-use.html 
Valid XHTML 1.0 | CSS