Zalinda Othman

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Keywords: Cloud computing service composition Systematic literature review Quality of service parameter QoS Research objectives Importance percentage of quality of service parameters a b s t r a c t The increasing tendency of network service users to use cloud computing encourages web service vendors to supply services that have different functional and(More)
In this paper, we present an efficient algorithm for cluster analysis, which is based on gravitational search and a heuristic search algorithm. In the proposed algorithm, called GSA-HS, the gravitational search algorithm is used to find a near optimal solution for clustering problem, and then at the next step a heuristic search algorithm is applied to(More)
Clustering is an unsupervised learning method that is used to group similar objects. One of the most popular and efficient clustering methods is K-means, as it has linear time complexity and is simple to implement. However, it suffers from gets trapped in local optima. Therefore, many methods have been produced by hybridizing K-means and other methods. In(More)
This paper focused on the development of diagnosis knowledge model of the level of hearing loss in the audiology clinic patients using rough set theory. A knowledge model contains a set of knowledge via rules that are obtained from mining certain amount of data. These data consist of valuable knowledge that impossible for the audiologist or audio therapist(More)
Service composition is among the most important challenges that cloud providers have ever faced. Optimization of QoS attributes when composing simple atomic services to obtain a complex service can be considered to be an NP-hard problem, which could be solved properly by using Hybrid optimization algorithms. In this research, the hybridization of an(More)
Naïve Bayesian classifier is one of the most effective and efficient classification algorithms. The elegant simplicity and apparent accuracy of naive Bayes (NB) even when the independence assumption is violated, fosters the on-going interest in the model. This paper discusses issues on NB along with its advantages and disadvantages. We also present(More)
Aiming to provide satisfying and value-added cloud composite services, suppliers put great effort into providing a large number of service providers. This goal, achieved by providing the ‘‘best’’ solutions, will not be guaranteed unless an efficient composite service composer is employed to choose an optimal set of required unique services (with respect to(More)
Association rules are adopted to discover the interesting relationship and knowledge in a large dataset. Knowledge may appear in terms of a frequent pattern discovered in a large number of production data. This knowledge can improve or solve production problems to achieve low cost production. To obtain knowledge and quality information, data mining can be(More)
Enterprise Resource Planning (ERP) systems are widely used by many multinational companies throughout the world. Recently, many institutions of higher learning have replaced their legacy systems to ERP systems as a means for integration advantages. Investment with this ERP system are representing the largest investment for institutions of higher learning,(More)
Enterprise Resource Planning (ERP) systems are widely used by many multinational companies throughout the world. Recently, many institutions of higher learning have replaced their legacy systems to ERP systems as a means for integration advantages. Investments with this ERP system are representing the largest investment for institutions of higher learning.(More)