Title :
The Prefix Span Algorithm Research of Synthetic Decision Support System Based on Internet of Things
Author :
Juan Li ; Huijuan Hao ; Fengqi Hao
Author_Institution :
Shandong Provincial Key Lab. of Comput. Networks, Nat. Supercomput. Center in Jinan, Jinan, China
Abstract :
Synthetic Decision Support System is combined with online analytical processing, data mining, model libraries, databases and knowledge bases. It will become one of the key technologies of data management services of Internet of Things, and it will establish the foundation for the smart city. This paper researches on the sequential pattern mining for decision support, implements the Prefix Span algorithm, and proposes some improved methods. The algorithm avoids the generation of candidate sets, thus improves the efficiency of the algorithm, but it is suitable mostly for short sequences mining areas.
Keywords :
Internet of Things; data mining; decision support systems; knowledge based systems; smart cities; Internet of Things; PrefixSpan algorithm; candidate set generation; data management services; data mining; databases; knowledge bases; model libraries; online analytical processing; sequential pattern mining; smart city; synthetic decision support system; Algorithm design and analysis; Data mining; Databases; Decision support systems; Internet of things; Monitoring; Sensors; Internet of things; sequential pattern mining; synthetic decision support; the Prefix Span algorithm;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.223
