Web service clustering and data mining in SOA system

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DC Field	Value	Language
dc.contributor.author	Mukherjee S.
dc.contributor.author	Nath A.
dc.date.accessioned	2020-03-31T14:15:20Z	-
dc.date.available	2020-03-31T14:15:20Z	-
dc.date.issued	2017
dc.identifier.citation	Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm, 2017, Vol., pp.157-177	en_US
dc.identifier.uri	10.4018/978-1-5225-2157-0.ch011
dc.identifier.uri	http://idr.nitk.ac.in/jspui/handle/123456789/13747	-
dc.description.abstract	The success of the web depended on the fact that it was simple and ubiquitous. Over the years, the web has evolved to become not only the repository for accessing information but also for storing software components. This transformation resulted in increased business needs and with the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. Here we focus on applying various data mining techniques to the cluster web services to improve the Web service discovery process. We end this with the various challenges that are faced in this process of data mining of web services. © 2017, IGI Global. All rights reserved.	en_US
dc.title	Web service clustering and data mining in SOA system	en_US
dc.type	Book Chapter	en_US
Appears in Collections:	3. Book Chapters

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