|
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
|
All items in Faculty Digital Archive are protected by copyright, with all rights reserved.
|
