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    4. A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn

    A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn Project in Java Spring Framework with source code and document free download.

    Java Spring Framework project   Publish on -  2018-07-11
    Kalaiselvi Elumalai
    Kalaiselvi Elumalai
    php java big data Html Css Javascript Jquery 
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    1 Reviews 5
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    175 Downloads
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    In this page A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn project is a desktop application which is developed in Java Spring Framework platform. This Java Spring Framework project with tutorial and guide for developing a code. A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn is a open source you can Download zip and edit as per you need. If you want more latest Java Spring Framework projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into Eclipse. Here Project Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper. Student can submit in college for final year project. This script developed by Kalaiselvi Elumalai. This desktop application 100% working smooth without any bug. It is developed using java,hadoop and Database hdfs. This software code helpful in academic projects and research paper for final year computer science. You can explore great collection of other Java Spring Framework projects.

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    Document and Reports information of A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn

    This doucment file contains project Synopsis, Reports, and various diagrams. Also Abstract in PDF, PPT file inside zip so that document link below the page. Class Diagrams, Use Case Diagrams, Entity–relationship(ER) Diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Complete ready made open source code free of cost download. You can find Top Downloaded Java Spring Framework projects here.

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    About Project

    project NameA Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn
    project ID2436
    Developer NameKalaiselvi Elumalai
    Publish Date2018-07-11
    project PlatformJava Spring Framework
    Programming Languagejava,hadoop
    Front End
    Back End
    IDE ToolEclipse
    Databasehdfs
    project Typedesktop Application
    No of project Download175
    project Total View4227
    Today Trends1
    Current Month Trends8
    Last Month Trends79

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    Features of the A Big Data Clustering Algorithm For Mitigating The Risk Of Customer Churn Project

    As market competition intensifies, customer churn management is increasingly becoming an important means of competitive advantage for companies. However, when dealing with big data in the industry, existing churn prediction models cannot work very well. In addition, decision makers are always faced with imprecise operations management. In response to these difficulties, a new clustering algorithm called Semantic Driven Subtractive Clustering Method (SDSCM) is proposed. Experimental results indicate that SDSCM has stronger clustering semantic strength than Subtractive Clustering Method (SCM) and fuzzy c-means (FCM). Then a parallel SDSCM algorithm is implemented through a Hadoop MapReduce framework. In the case study, the proposed parallel SDSCM algorithm enjoys a fast running speed when compared with the other methods. Furthermore, We provide some marketing strategies in accordance with the clustering results, and a simplified marketing activity is simulated to ensure profit maximization.

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