Matches in SemOpenAlex for { <https://semopenalex.org/work/W2167255334> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2167255334 endingPage "11" @default.
- W2167255334 startingPage "8" @default.
- W2167255334 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 ." @default.
- W2167255334 created "2016-06-24" @default.
- W2167255334 creator A5057027844 @default.
- W2167255334 date "2013-07-26" @default.
- W2167255334 modified "2023-09-25" @default.
- W2167255334 title "Data Mining for Detecting Carelessness or Mala Fide Intention" @default.
- W2167255334 cites W1484629505 @default.
- W2167255334 cites W1550545076 @default.
- W2167255334 cites W1553696291 @default.
- W2167255334 cites W1566934627 @default.
- W2167255334 cites W1601529450 @default.
- W2167255334 cites W2042385018 @default.
- W2167255334 cites W2044535354 @default.
- W2167255334 cites W2070040249 @default.
- W2167255334 cites W2079674650 @default.
- W2167255334 cites W2156644018 @default.
- W2167255334 cites W2163598528 @default.
- W2167255334 cites W2190026262 @default.
- W2167255334 cites W3085162807 @default.
- W2167255334 cites W30397635 @default.
- W2167255334 doi "https://doi.org/10.5120/12847-9142" @default.
- W2167255334 hasPublicationYear "2013" @default.
- W2167255334 type Work @default.
- W2167255334 sameAs 2167255334 @default.
- W2167255334 citedByCount "0" @default.
- W2167255334 crossrefType "journal-article" @default.
- W2167255334 hasAuthorship W2167255334A5057027844 @default.
- W2167255334 hasBestOaLocation W21672553341 @default.
- W2167255334 hasConcept C118552586 @default.
- W2167255334 hasConcept C124101348 @default.
- W2167255334 hasConcept C15744967 @default.
- W2167255334 hasConcept C2522767166 @default.
- W2167255334 hasConcept C2779837783 @default.
- W2167255334 hasConcept C38652104 @default.
- W2167255334 hasConcept C41008148 @default.
- W2167255334 hasConceptScore W2167255334C118552586 @default.
- W2167255334 hasConceptScore W2167255334C124101348 @default.
- W2167255334 hasConceptScore W2167255334C15744967 @default.
- W2167255334 hasConceptScore W2167255334C2522767166 @default.
- W2167255334 hasConceptScore W2167255334C2779837783 @default.
- W2167255334 hasConceptScore W2167255334C38652104 @default.
- W2167255334 hasConceptScore W2167255334C41008148 @default.
- W2167255334 hasIssue "1" @default.
- W2167255334 hasLocation W21672553341 @default.
- W2167255334 hasOpenAccess W2167255334 @default.
- W2167255334 hasPrimaryLocation W21672553341 @default.
- W2167255334 hasRelatedWork W1496384199 @default.
- W2167255334 hasRelatedWork W151821729 @default.
- W2167255334 hasRelatedWork W2030496847 @default.
- W2167255334 hasRelatedWork W2087713353 @default.
- W2167255334 hasRelatedWork W2347219288 @default.
- W2167255334 hasRelatedWork W2348097614 @default.
- W2167255334 hasRelatedWork W2787177649 @default.
- W2167255334 hasRelatedWork W3007967230 @default.
- W2167255334 hasRelatedWork W3199874768 @default.
- W2167255334 hasRelatedWork W4313313264 @default.
- W2167255334 hasVolume "74" @default.
- W2167255334 isParatext "false" @default.
- W2167255334 isRetracted "false" @default.
- W2167255334 magId "2167255334" @default.
- W2167255334 workType "article" @default.