Title :
Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints
Author :
Leung, Carson Kai-Sang ; MacKinnon, Richard Kyle ; Fan Jiang
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
Abstract :
High volumes of uncertain data can be generated in distributed environments in many real-life biological, medical and life science applications. As an important data mining task, frequent pattern mining helps discover frequently co-occurring items, objects, or events from these distributed databases. However, users may be interested in only some small portions of all the frequent patterns that can be mined from these databases. In this paper, we propose an intelligent computing system that (i) allows users to express their interests via the use of user-specified constraints and (ii)effectively exploits anti-monotonic properties of user-specified constraints and efficiently discovers frequent patterns satisfying these constraints from the distributed databases containing uncertain data.
Keywords :
data mining; distributed databases; anti-monotonic constraints; distributed databases; distributed environments; distributed uncertain data mining; frequent pattern mining; intelligent computing system; uncertain data; user-specified constraints; Computer aided manufacturing; Computer science; Data mining; Distributed databases; Runtime; Sensors; anti-monotonic constraints; constraints; data mining; distributed data mining; frequent patterns; intelligent computing; uncertain data;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4799-2652-7
DOI :
10.1109/WAINA.2014.11
