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Volume & Issue no: Volume 6, Issue 2, March - April 2017

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Title:
Enhancing Clustering Mechanism by Implementation of EM Algorithm for Gaussian Mixture Model
Author Name:
Jyoti, Dr. Rajendar Singh Chhillar
Abstract:
Abstract: Big data[1] is a term for data sets that are so big or complex that traditional data processing applications are inadequate. Challenges include analysis, data curtain, search, sharing, storage, transfer, visualization, querying & information privacy. term often refers simply to use of predictive analytics or certain other advanced methods to extract value from data, & seldom to a particular size of data set. Accuracy in big data might lead to more confident decision making, & better decisions could result in greater operational efficiency, cost reduction & reduced risk. Data mining[7] is central step in a process called knowledge discovery in databases, namely step in which modeling techniques are include. Research areas like artificial intelligence, machine learning, & soft computing had contributed to its arsenal of methods. In our opinion fuzzy approaches could play an important role in data mining, because they given comprehensible results (although this goal is maybe because this is sometimes hard to achieve within other methods). Keywords—Data mining, web mining, web intelligence, knowledge discovery, fuzzy logic, K-mean
Cite this article:
Jyoti, Dr. Rajendar Singh Chhillar , " Enhancing Clustering Mechanism by Implementation of EM Algorithm for Gaussian Mixture Model " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 2, March - April 2017 , pp. 155-158 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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