American Journal of Data Mining and Knowledge Discovery

Archive

Volume 4, Issue 2, December 2019

  • Data Mining Technique Used in Order to Analysis the Capacitive Sensor

    Nafise Masomi, Elham Ghanbari, Mohammad Taghi Adl

    Issue: Volume 4, Issue 2, December 2019
    Pages: 57-62
    Received: 31 May 2019
    Accepted: 10 July 2019
    Published: 23 October 2019
    DOI: 10.11648/j.ajdmkd.20190402.11
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    Abstract: Data mining, also referred to as knowledge extraction from databases, is one of the most important analytical methods for identifying the relationships between the various elements of the information collected in order to discover the useful knowledge and support of strategic decision-making and sustainable development systems in various industries... Show More
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  • Economic Consequences of Non-Communicable Diseases at Household Level: A Case Study Among Adults of Some Households in Bangladesh

    Bhuyan Keshab Chandra

    Issue: Volume 4, Issue 2, December 2019
    Pages: 63-69
    Received: 23 October 2019
    Accepted: 13 November 2019
    Published: 19 November 2019
    DOI: 10.11648/j.ajdmkd.20190402.12
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    Abstract: The objective of the present study was to investigate the economic consequences of non-communicable diseases of adults at household level. According to the objective of the study the analysis was done using data collected from 808 adults of Bangladesh who were investigated by some doctors and nurses from and nearby their working places. Among these... Show More
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  • Fraud Detection and Fraudulent Risks Management in the Insurance Sector Using Selected Data Mining Tools

    Leonard Mushunje

    Issue: Volume 4, Issue 2, December 2019
    Pages: 70-74
    Received: 2 October 2019
    Accepted: 6 November 2019
    Published: 19 November 2019
    DOI: 10.11648/j.ajdmkd.20190402.13
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    Abstract: Knowledge discovery, shortly known as Data mining plays a crucial role within the insurance sector. Serious troublesome cases such as fraudulent cases can be well managed in the insurance sector through data mining application. In this paper, we aim to put on surface the two forms of fraud that is softy and hard fraud, to give out the causes of suc... Show More
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