Data mining approach to bipolar cognitive map development and decision analysis

Wen-Ran Zhang

doi:10.1117/12.460223

12 March 2002 Data mining approach to bipolar cognitive map development and decision analysis

Wen-Ran Zhang

Proceedings Volume 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV; (2002) https://doi.org/10.1117/12.460223
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A data mining approach to cognitive mapping is presented based on bipolar logic, bipolar relations, and bipolar clustering. It is shown that a correlation network derived from a database can be converted to a bipolar cognitive map (or bipolar relation). A transitive, symmetric, and reflexive bipolar relation (equilibrium relation) can be used to identify focal links in decision analysis. It can also be used to cluster a set of events or itemsets into three different clusters: coalition sets, conflict sets, and harmony sets. The coalition sets are positively correlated events or itemsets; each conflict set is a negatively correlated set of two coalition subsets; and a harmony set consists of events that are both negatively and positively correlated. A cognitive map and the clusters can then be used for online decision analysis. This approach combines knowledge discovery with the views of decision makers and provides an effective means for online analytical processing (OLAP) and online analytical mining (OLAM).

Citation Download Citation

Wen-Ran Zhang "Data mining approach to bipolar cognitive map development and decision analysis", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460223

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available