Application of data mining techniques in cloud computing: A literature review

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In recent years, new innovations and developments in information and communication technologies have hugely increased the quantity of data required to analyze. Storing large-scale datasets, extracting useful knowledge from the huge volumes of data by applying data mining techniques and predicting the future are costly and difficult processes. To overcome these challenges, the knowledge discovery process is performed efficiently by using cloud, parallel and distributed computing. This article shows that the performance algorithms in data mining can be increased by the scalability of cloud computing with the advantages in terms of accessibility from anywhere, low cost and maintainability. In this article, data mining applications that have been implemented on cloud platforms are presented, including methods, data and obtained results. Solution approaches that have been proposed related to this topic in the literature are handled in three main categories: classification, clustering and association rule mining.

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Data mining , Classification , Clustering , Association rule mining , Cloud computing

Pamukkale University Journal Of Engineering Sciences

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Pamukkale University Journal Of Engineering Sciences