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Paper Details
Paper Title
Proficient Approaches for Determining Identity Frauds Using Dataset
Authors
Vaibhav Sirasat, Sweta Kale
Abstract
Identity crime is well known, popular, and expensive; And a special case of identity fraud crime loan applications. Current non data score cards and business rules mining detection system and match the boundaries of known fraud. These limitations and to combat identity crime in real time this system complemented with multilayered detection. Two additional layers: communal detection (CD) and Spike detection (SD). CD represents actual social relationships to reduce suspicion score. To increase the suspicion score duplicate spikes, and is resistant to examining features characterize this attribute-oriented approach to a variable-size set. Together, CD and SD can detect more types of attacks; better legal practices account for change and remove redundant features, Experimentation on several hundred thousand real CD and SD credit applications. Results are successful credit application fraud data patterns suddenly and in sharp spikes exhibit hypothesis duplicates, Although this research credit application fraud detection, resilience, adaptively and is specific to the concept of quality. To address these limitations and combat identity crime in real time, during this project data mining based method is investigated and extended further. In this project first investigation of existing method is done and further methods are presented to overcome the limitation of effectiveness which will be improve by overcoming the issues related scalability, extreme imbalanced class, time constraints etc. Therefore aiming to present and extend the existing method with goal of improving the effectiveness.
Keywords- Crime detection, Credit card, Data mining, Identity crime, Scorecards, Fraud detection, Security, Anomaly detection.
Publication Details
Unique Identification Number - IJEDR1603045Page Number(s) - 276-280Pubished in - Volume 4 | Issue 3 | July 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Vaibhav Sirasat, Sweta Kale, "Proficient Approaches for Determining Identity Frauds Using Dataset", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.276-280, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603045.pdf
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