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Data Mining for Detecting Carelessness or Mala Fide Intention

by Rajesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 1
Year of Publication: 2013
Authors: Rajesh Kumar
10.5120/12847-9142

Rajesh Kumar . Data Mining for Detecting Carelessness or Mala Fide Intention. International Journal of Computer Applications. 74, 1 ( July 2013), 8-11. DOI=10.5120/12847-9142

@article{ 10.5120/12847-9142,
author = { Rajesh Kumar },
title = { Data Mining for Detecting Carelessness or Mala Fide Intention },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 1 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number1/12847-9142/ },
doi = { 10.5120/12847-9142 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:01.651092+05:30
%A Rajesh Kumar
%T Data Mining for Detecting Carelessness or Mala Fide Intention
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 1
%P 8-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fraud is one of the greatest challenges for the organizations, it needs a machine to be equipped with data mining algorithms , so that it can detect a crime pattern before it takes place. This paper will explore the data mining and Knowledge discovery in data base and later one of the most effective data mining techniques called Benford's law for detecting the fake entries in medical insurance claims, electricity bills, water bills etc will be discussed. Applications of Benford's law with limitations will be discussed so that machines exhibits some intelligence in its domain and later proposed to embed the Benford law in software to identify all the entries made by carelessness or with a mala fide intention .

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Index Terms

Computer Science
Information Sciences

Keywords

Benford law Data mining KDD Preprocessing

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