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Recently; AI based methods are frequently used in healthcare industry to unfold historical hindsight to explore the insight and envisage the foresight. For example, identification of epidemiological patterns of thyroid disease in targeted area(s) supports healthcare industry stakeholders (government agencies, health organizations, NGOs, policy makers and so on) in formulating proper policies to combat...
Recently; medical data mining has become one of the well-established research areas of machine learning and AI base techniques have been used to solve the complex classification problem of thyroid disease. Due to the existence of non-palpable nodules it is very hard to detect the structural changes of thyroid disease by assessing the thyroid functional changes. For instance at structural level “Euthyroid”...
Development of software is a very crucial and complex process. IT professionals have been facing difficulties and risks for the development of software projects. This research focuses on the effectiveness of two data mining algorithms that are Apriori algorithm and FP-Tree Algorithm in Software Engineering domain. These two algorithms have shown the capability of generating association rules in software...
Due to economic benefits of cloud computing, consumers have rushed to adopt Cloud Computing. Apart from rushing into cloud, security concerns are also raised. These security concerns cause trust issue in adopting cloud computing. Enterprises adopting cloud, will have no more control over data, application and other computing resources that are outsourced from cloud computing provider. In this paper...
Indoleamine 2,3-dioxygenase (IDO) has key role in immune regulation and it acts as a constituent of the inflammatory reaction allied with infection, allergic diseases, autoimmunity and cancer. IDO function as an immunosuppressive enzyme, which degrades the tryptophan into kynurenine and other downstream metabolites. Interferon gamma (IFN-γ) is a potent inducer of IDO. Transforming growth factor-beta...
This paper describes the shortcomings in Hadoop. Hadoop is a distributed paradigm used to manipulate the large amount of data. This manipulation contains not only storage as well as processing on the data. Hadoop is normally used for data intensive applications. It actually holds the huge amount of data and upon requirement perform the operations like data analysis, result analysis, data analytics...
Recently genetic algorithm based techniques have been introduced in Femtocells communication systems due to inherent advantages. Higher Quality of Service is the demand of users and service providers in day to day communication. This requires an efficient optimization technique to ensure the best quality. In this paper a genetic algorithm based technique is presented for optimization of coverage,...
Content Delivery Network (CDN) is a system where computers networked together across the Internet. Contents (especially large media content) are replicated from the origin server to cache servers scattered over the world in order to deliver content to end users in a reliable and timely manner. Cooperation and coordination among them can solve many problems of a particular CDN and is achieved by Virtual...
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