Comparative Study of Domain Driven Data Mining for It Infrastructure Suport
V. R. Elangovan1, E. Ramaraj2

1V.R Elangovan, Research Scholar, Madurai Kamarajar University Madurai (Tamil Nadu), India.
2E.Ramaraj, Professor, Department of Computer Science and Engineering, Alagappa University, Karaikudi (Tamil Nadu), India.
Manuscript received on 11 June 2013 | Revised Manuscript received on 17 June 2013 | Manuscript Published on 30 June 2013 | PP: 225-231 | Volume-3 Issue-1, June 2013 | Retrieval Number: A0924063113/13©BEIESP
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Abstract: Information Technology (IT) is one of the most emerging fields in today’s Internet world. IT can be defined in various ways, but is broadly considered to encompass the use of computers and telecommunications equipment to store, retrieve, transmit and manipulate data. Infrastructure is the base for everything. IT also has an infrastructure, which can be managed and maintained properly. For an organization’s Information Technology, Infrastructure Management (IM) is the management of essential operation components, such as policies, processes, equipment, data, human resources and external contacts. This paper, propose a methodology to manage the IT Infrastructure in a better way. In the proposed methodology uses the tree-structure based architecture to manage the infrastructure with less manual power. To maintain such services, we have to set up an infrastructure and also provide essential steps to maintain and manage those kinds of services. This kind of management is termed as IT Infrastructure Management Services. While the user wants to use this kind of IT Services, the infrastructure paves way for this by providing proper responses for the requests made by the user. These responses are provided by the IT resource persons who are managing and maintaining the services. The proposed methodology deals with this by undertaking the requests from the user and providing proper responses for the requests. The response is provided by analyzing the requests and then redirecting the requests to the resource person who are considering that kind of request. Thus the proposed methodology provides proper services for the user by managing the work flow in the IT Infrastructure. This paper also compared with the other methods in the domain driven data mining area, to ensure that the proposed method is more efficient in terms of SLA service level agreement and methodology when compared to other methods.
Keywords: (IM) (IT).

Scope of the Article: Data Mining