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Performance Analysis of DE over K-Means Proposed Model of Soft Computing

Performance Analysis of DE over K-Means Proposed Model of Soft Computing

Kapil Patidar, Manoj Kumar, Sushil Kumar
Copyright: © 2016 |Pages: 14
ISBN13: 9781466698857|ISBN10: 1466698853|EISBN13: 9781466698864
DOI: 10.4018/978-1-4666-9885-7.ch010
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MLA

Patidar, Kapil, et al. "Performance Analysis of DE over K-Means Proposed Model of Soft Computing." Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications, edited by Pratiksha Saxena, et al., IGI Global, 2016, pp. 211-224. https://doi.org/10.4018/978-1-4666-9885-7.ch010

APA

Patidar, K., Kumar, M., & Kumar, S. (2016). Performance Analysis of DE over K-Means Proposed Model of Soft Computing. In P. Saxena, D. Singh, & M. Pant (Eds.), Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications (pp. 211-224). IGI Global. https://doi.org/10.4018/978-1-4666-9885-7.ch010

Chicago

Patidar, Kapil, Manoj Kumar, and Sushil Kumar. "Performance Analysis of DE over K-Means Proposed Model of Soft Computing." In Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications, edited by Pratiksha Saxena, Dipti Singh, and Millie Pant, 211-224. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9885-7.ch010

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Abstract

In real world data increased periodically, huge amount of data is called Big data. It is a well-known term used to define the exponential growth of data, both in structured and unstructured format. Data analysis is a method of cleaning, altering, learning valuable statistics, decision making and advising assumption with the help of many algorithm and procedure such as classification and clustering. In this chapter we discuss about big data analysis using soft computing technique and propose how to pair two different approaches like evolutionary algorithm and machine learning approach and try to find better cause.

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