NDLI: Decision tree-based credit decision support system

Content Provider	IEEE Xplore Digital Library
Author	Bozsik, J. Kormendi, G.
Copyright Year	2011
Description	Author affiliation: Department of Software Technology and Methodology, Eötvös Loránd University, Pázmány Péter sétány 1/C, H-1117 Budapest, Hungary (Bozsik, J.; Kormendi, G.)
Abstract	In this article, our aim is to demonstrate a new approach on financial credit decision support based on artificial intelligence, which, beside the classic methods, gets more and more prevalent in economics [1]. Our goal was to work out and achieve a decision tree-based credit decision method which is able to process and appraise data both in large numbers and one at a time. Beside the quick and robust solution, the efficiency of the algorithm was also an important aspect. Our improved algorithm of the traditional decision tree building is going to be demonstrated, and we will also touch upon the incidental problems that have occurred during the development, and their solutions. The efficiency of the algorithm in different situations is also going to be demonstrated with tests, and the results of the algorithm are going to be compared with a bank system's results on the same set of data.
Starting Page	189
Ending Page	194
File Size	904996
Page Count	6
File Format	PDF
ISBN	9781457718427
e-ISBN	9781457718410
DOI	10.1109/LINDI.2011.6031145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-25
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Runtime Biological system modeling Educational institutions Entropy Decision trees
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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