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Title: :  Survey For Credit Scoring Model using Data Mining Algorithms
PaperId: :  9564
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 2 2019
DUI:    16.0415/IJARIIE-9564
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pratiksha PawarK K wagh collage Nashik
Pranali RajputK K wagh collage Nashik
Shreya ShejwalkarK K wagh collage Nashik
Pradnya BorseK K wagh collage Nashik
Prof. S. M. MalaoK K wagh collage Nashik

Abstract

Computer Engineering
Information retrieval, Data Structures,Information Integration, Data Cleaning, Wrappers.
Credit scoring means applying a statistical model to assign a risk score to a credit application.Credit scoring techniques assess the risk in lending to a particular client. They not only identify good applications and bad applications on an individual basis, but also they forecast the probability that an applicant with any given score will be good or bad.Although credit scoring systems are being implemented and used by most banks nowadays, they do face a number of limitations.The availability of high-quality data is a very important prerequisite for building good credit scoring models. However, the data need not only be of high quality, but it should be predictive as well, in the sense that the captured characteristics are related to the customer defaulting or not.The statistical techniques used in developing credit scoring models typically assume a data set of sufficient size containing enough details. This may not always be the case for specific types of portfolios where only limited data is available, or only a low number of defaults is observed. It is observed that Credit Scoring Model is much more accurate and efficient when it is executed on data that has been carefully prepared and pre-processed. Data mining could be applied in the process of Credit Scoring that is used to predict default clients n order to decide whether to grant them a credit especially by using classification algorithms. Also, data pre-processing can be used on imbalance credit data for improving risk prediction.

Citations

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IJARIIE Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. "Survey For Credit Scoring Model using Data Mining Algorithms" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 2 2019 Page 22-27
MLA Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. "Survey For Credit Scoring Model using Data Mining Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 5.2(2019) : 22-27.
APA Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, & Prof. S. M. Malao. (2019). Survey For Credit Scoring Model using Data Mining Algorithms. International Journal Of Advance Research And Innovative Ideas In Education, 5(2), 22-27.
Chicago Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. "Survey For Credit Scoring Model using Data Mining Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 2 (2019) : 22-27.
Oxford Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. 'Survey For Credit Scoring Model using Data Mining Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, 2019, p. 22-27. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Survey_For_Credit_Scoring_Model_using_Data_Mining_Algorithms_ijariie9564.pdf (Accessed : 11 November 2022).
Harvard Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. (2019) 'Survey For Credit Scoring Model using Data Mining Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, 5(2), pp. 22-27IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Survey_For_Credit_Scoring_Model_using_Data_Mining_Algorithms_ijariie9564.pdf (Accessed : 11 November 2022)
IEEE Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao, "Survey For Credit Scoring Model using Data Mining Algorithms," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, pp. 22-27, Mar-App 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Survey_For_Credit_Scoring_Model_using_Data_Mining_Algorithms_ijariie9564.pdf [Accessed : 11 November 2022].
Turabian Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. "Survey For Credit Scoring Model using Data Mining Algorithms." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 2 (11 November 2022).
Vancouver Pratiksha Pawar, Pranali Rajput, Shreya Shejwalkar, Pradnya Borse, and Prof. S. M. Malao. Survey For Credit Scoring Model using Data Mining Algorithms. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 11 November 2022]; 5(2) : 22-27. Available from: https://ijariie.com/AdminUploadPdf/Survey_For_Credit_Scoring_Model_using_Data_Mining_Algorithms_ijariie9564.pdf
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