Mining fuzzy association rules in spatio-temporal databases

Hong Shu; Lin Dong; Xinyan Zhu

doi:10.1117/12.815993

29 December 2008 Mining fuzzy association rules in spatio-temporal databases

Hong Shu, Lin Dong, Xinyan Zhu

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728541 (2008) https://doi.org/10.1117/12.815993
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

A huge amount of geospatial and temporal data have been collected through various networks of environment monitoring stations. For instance, daily precipitation and temperature are observed at hundreds of meteorological stations in Northeastern China. However, these massive raw data from the stations are not fully utilized for meeting the requirements of human decision-making. In nature, the discovery of geographical data mining is the computation of multivariate spatio-temporal correlations through the stages of data mining. In this paper, a procedure of mining association rules in regional climate-changing databases is introduced. The methods of Kriging interpolation, fuzzy cmeans clustering, and Apriori-based logical rules extraction are employed subsequently. Formally, we define geographical spatio-temporal transactions and fuzzy association rules. Innovatively, we make fuzzy data conceptualization by means of fuzzy c-means clustering, and transform fuzzy data items with membership grades into Boolean data items with weights by means ofλ-cut sets. When the algorithm Apriori is executed on Boolean transactions with weights, fuzzy association rules are derived. Fuzzy association rules are more nature than crisp association rules for human cognition about the reality.

Citation Download Citation

Hong Shu, Lin Dong, and Xinyan Zhu "Mining fuzzy association rules in spatio-temporal databases", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728541 (29 December 2008); https://doi.org/10.1117/12.815993

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