Share Email Print
cover

Proceedings Paper

Knowledge discovery about scientific papers or proceedings referenced NASA/DAAC data with a rule-based classifier
Author(s): Donglian Sun; Chris Lynnes; Richard K. Kiang; Steve Kempler; George Serafino
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Knowledge discovery from online journals, abstracts and citation indices, cross-referenced with the NASA Distributed Active Archive Center (DAAC) user/order database to close the data-knowledge loop. Knowledge discovery in database (KDD) has been defined as the nontrivial process of discovering valid, novel, potentially useful, and ultimately understandable patterns from data. The core step of the KDD process is data mining. Data mining is all about extracting patterns from an organization's stored or warehoused data. These patterns can be used to gain insight into aspects of the organization's operations and predict outcomes for future situations. Patterns often concern the categories to which situations belong. For example, here is the situation, to decide if a journal paper used the NASA DAAC data or not, starting from the Goddard DAAC user/order database record, a rule-based classifier was developed and rules were found firstly with training samples, then these rules were applied to recognize new patterns.

Paper Details

Date Published: 12 March 2002
PDF: 6 pages
Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); doi: 10.1117/12.460217
Show Author Affiliations
Donglian Sun, NASA Goddard Space Flight Ctr. (United States)
Chris Lynnes, NASA Goddard Space Flight Ctr. (United States)
Richard K. Kiang, NASA Goddard Space Flight Ctr. (United States)
Steve Kempler, NASA Goddard Space Flight Ctr. (United States)
George Serafino, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 4730:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top