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Krithiga Sivakumar

Biographic Data

ID8434593
NAMEKrithiga Sivakumar
GIVEN NAMESKrithiga
FAMILY NAMESivakumar
SIGNATURESIVAKUMAR K
AFFILIATIONSSaveetha University
ORCID0000-0002-1961-3144
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Use of Data Mining of to Create of a Fraud Prevention and Detection System in Credit Card

    Open Access•Krithiga Sivakumar, Manoharan Govindaraj et al.•ARTICLE•International Journal of Health…•2022

    After defining the problem, we'll examine the various techniques (pre-and post-dynamic) for managing installment card fraud recognition, as well as collect all the data from various elements of card-based monetary fraud (regions, fraudulent activity, etc.). When all of the information has been gathered, it's time to put it into practice. It is best to avoid using data that has been gleaned from several sources because it has little practical use …

  • Epidemiological Study on Common Mental Disorders Among Married Women in Rural Puducherry

    Open Access•Krithiga Sivakumar, Vishnu Sundar Ramachandran•ARTICLE•International Journal of Health…•2022

    Context/Background: Common Mental Disorders, are non psychotic affective disorders (depressive and anxiety disorders). These disorders predominantly occur in women, is a serious public health problem. Majority of these are either undiagnosed or not satisfactorily treated. In most of the low- and middle-income countries, the idea of primary care for mental health is yet to be understood. Aims/Objectives: We undertook this study to estimate the pre…

No prominent works on this page.

  • Use of Data Mining of to Create of a Fraud Prevention and Detection System in Credit Card

    Open Access•Krithiga Sivakumar, Manoharan Govindaraj et al.•ARTICLE•International Journal of Health…•2022

    After defining the problem, we'll examine the various techniques (pre-and post-dynamic) for managing installment card fraud recognition, as well as collect all the data from various elements of card-based monetary fraud (regions, fraudulent activity, etc.). When all of the information has been gathered, it's time to put it into practice. It is best to avoid using data that has been gleaned from several sources because it has little practical use …

  • Epidemiological Study on Common Mental Disorders Among Married Women in Rural Puducherry

    Open Access•Krithiga Sivakumar, Vishnu Sundar Ramachandran•ARTICLE•International Journal of Health…•2022

    Context/Background: Common Mental Disorders, are non psychotic affective disorders (depressive and anxiety disorders). These disorders predominantly occur in women, is a serious public health problem. Majority of these are either undiagnosed or not satisfactorily treated. In most of the low- and middle-income countries, the idea of primary care for mental health is yet to be understood. Aims/Objectives: We undertook this study to estimate the pre…

Anxiety (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Computer Science (1 work) · Computer security (1 work) · Context (archaeology (1 work) · Credit card (1 work) · Credit card fraud (1 work) · Data mining (1 work) · Data science (1 work)

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