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/2451/14156

Title: Intelligent Assistance for the Data Mining Process: An Ontology-based Approach
Authors: Bernstein, Abraham
Hill, Shawndra
Provost, Foster
Keywords: Data mining
data-mining process
intelligent assistants
knowledge discovery
Issue Date: 2002
Publisher: Stern School of Business, New York University
Series/Report no.: IS-02-02
Abstract: A data mining (DM) process involves multiple stages. A simple, but typical, process might include preprocessing data, applying a data-mining algorithm, and postprocessing the mining results. There are many possible choices for each stage, and only some combinations are valid. Because of the large space and non-trivial interactions, both novices and data-mining specialists need assistance in composing and selecting DM processes. We present the concept of Intelligent Discovery Assistants (IDAs), which provide users with (i) systematic enumerations of valid DM processes, in order that important, potentially fruitful options are not overlooked, and (ii) effective rankings of these valid processes by different criteria, to facilitate the choice of DM processes to execute. We use a prototype to show that an IDA can indeed provide useful enumerations and effective rankings. We discuss how an IDA is an important tool for knowledge sharing among a team of data miners. Finally, we illustrate all the claims with a comprehensive demonstration using a more involved process and data from the 1998 KDDCUP competition.
URI: http://hdl.handle.net/2451/14156
Appears in Collections:IOMS: Information Systems Working Papers

Files in This Item:

File Description SizeFormat
IS-02-02.pdf196.01 kBAdobe 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