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An Efficient Data Mining for Credit Card Fraud Detection using Finger Print Recognition

Author(s): V.Priyadharshini, G.Adiline Macriga

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 2;
Issue: 7;
Start page: 58;
Date: 2012;
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Keywords: Knowledge based retrieval | Spike detection | Communal detection

Today there are millions of credit card transactions arebeing processed and mining techniques are highly appliedto amount transaction and processing then the data’s arehighly skewed Mining such massive amounts of datarequires highly efficient techniques that scaled that canbe extend transactions are legitimate than fraudulentfraud detection systems were widely used but thisdocument gives the detection techniques. This papercontains multilayered techniques for providing thesecurity for the credit card frauds. The first layer iscommunal detection and second is Spike detection layersthat highly provides security for detection of frauds likeprobe resistant and mark the illegal user through theirinput details and mark it in a list. Then it removes attackslike defense in depths on cards and by removing the dataredundancy of the attributes and it is being processedwith millions of the credit cards.
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