Big Data Analysis Using Soft Computing Techniques

Big Data analysis Using Soft Computing Techniques Kapil Patidar Manoj Kumar (Asst. Pro) Dept. of Computer Science and Engineering Dept. of Computer Science and Engineering ASET, Amity University ASET, Amity University Noida, U.P., India Noida, U.P., India kpl.ptdr@gmail.com manojbaliyan@gmail.com Abstract—Big data is a widespread term used to define the exponential progress and obtainability of data, both structured and unstructured. Big data may be as important to corporate society, more data may prime to more precise analyses. More truthful analyses may prime to, more assertive judgment creation and well judgments can mean greater functioning productivities, reduced cost and risk. In this paper we discuss about big data analysis using soft computing technique with the help of clustering approach and Differential Evolution algorithm. Index Terms—Big Data, K-means algorithm, DE (Differential Evolution), Data clustering Introduction Day by day amount of data generation is increasing in drastic manner. Where in to describe the data, for zetta byte, popular term used is â€Å"Big data†. The marvelous volume and mixture of real world data surrounded in massive databases clearly overcome old-fashioned manual method of data analysis, such as worksheets and ad-hoc inquiries. A new generation of tools andShow MoreRelatedReal Time Analytics For Different Software Applications Essay3905 Words   |  16 Pagesdifferent words, the word analytics is utilized to define data patterns that offer meaning to a business or other unit, where analysts gather valuable information by classifying through and analyzing that data. 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