IT governance is the process by which decisions are made around IT investments. A well-matured IT governance framework is based on three major elements: structure, process and communication. In addition, there are four objectives that drives IT governance and must be covered in IT governance processes: IT value and alignment, accountability, performance measurement, and risk management.As we know Information Technology Infrastructure Library (ITIL) is a public framework that describes Best Practice in IT service management. Although some researchers have considered ITIL V2 as a part of their IT Governance framework, this paper claims that ITIL V3 (new publication of ITIL in 2007) and "Service Strategy" as the core of this publication, can provide a wellmatured framework for the governance of IT by covering all requirement of IT Governance.
The main purpose of using clustering techniques is to divide a dataset into a few unsupervised data analysis partitions. One of the recent and apparently one of the easiest one of them is k-means. This technique is based on square error criterion. To solve the combinatorial optimization issues in the context of clustering techniques, k-means algorithm was used recently. In spite of the fact that it has been applied to a few territories, it experiences sensitivity to initial points. There have been a few techniques that were reported beneficial for improving kmeans systems. By this paper we are trying to suggest a new algorithm which depends on an optimized clustering method. This algorithm that is called K-Means Modified Grenade Explosion Method (KMGEM) is a K-Means that initialized with Modified Grenade Explosion algorithm. The results showed that our proposed method is superior in comparison with methods like Genetic Algorithm, Genetic K-Means Algorithm, and k-means algorithms.
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