ICTACT Journal on Soft Computing

J. S. Shyam Mohan ¹, P. Shanmugapriya ²

Affiliations
1 Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN
2 Department of Information Technology, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN

Abstract

Identifying, diagnosing and treatment of cancer involves a thorough investigation that involves data collection called big data from multi and different sources that are helpful for making effective and quick decision making. Similarly data analytics is used to find remedial actions for newly arriving diseases spread across multiple warehouses. Analytics can be performed on collected or available data from various data clusters that contains pieces of data. We provide an effective framework that provides a way for effective decision making using Amazon EMR. Through various experiments done on different biological datasets, we reveal the advantages of the proposed model and present numerical results. These results indicate that the proposed framework can efficiently perform analytics over any biological datasets and obtain results in optimal time thereby maintaining the quality of the result.

Keywords

Big Data, Data Analytics, MapReduce, Amazon EMR, Predictive Analysis.

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