DocumentCode :
3020960
Title :
Investigation of high utility itemset mining in service oriented computing: Deployment of knowledge as a service in E-commerce
Author :
Kannimuthu, S. ; Premalatha, K. ; Shankar, Subramaniam
Author_Institution :
Dept. of IT, Sri Krishna Coll. of Eng. & Technol., Coimbatore, India
fYear :
2012
fDate :
13-15 Dec. 2012
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, we explore a Service Oriented Computing (SOC) paradigm which provides knowledge as a service that makes use of utility mining approach. The basic idea of providing knowledge is done via the web services in which we use a knowledge server to answer the queries of the consumers. A web service is a single entity which comprises of cluster of functionalities and is made available at the heart of the network and the knowledge data are entitled to be used by the knowledge consumers in a standardized manner to maintain transparency. Here, we have proposed an architecture called Knowledge as a Service (KaaS) where we use utility mining algorithms for extracting the knowledge data from the data owners when the knowledge consumers are in need of a particular knowledge data. The main motive behind proposing architecture is to provide Utility Mining as a service in a distributed computing environment which can be applied in business such as cross selling approach. This novel architectural based approach is experimented in online shopping cart system.
Keywords :
Web services; data mining; distributed processing; electronic commerce; service-oriented architecture; KaaS; SOC; Web services; data owners; distributed computing environment; e-commerce; high utility itemset mining investigation; knowledge as a service deployment; knowledge consumers; knowledge data; knowledge server; service oriented computing; utility mining approach; Association rules; Companies; Distributed databases; Itemsets; Knowledge engineering; Web services; Data mining; E-commerce; High utility itemsets; Knowledge as a Service; Online Shopping cart system; Service oriented computing; Utility mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing (ICoAC), 2012 Fourth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5583-4
Type :
conf
DOI :
10.1109/ICoAC.2012.6416812
Filename :
6416812
Link To Document :
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