Call for Papers:Vol.7 Issue.6

Submission
Last date		 31-Dec-2021
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-7,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Data mining techniques to analyze risk giving loan(bank)
PaperId: :  1614
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 1 2016
DUI:    16.0415/IJARIIE-1614
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mrunal SurveAmrutvahini COE, Sangamner
Pooja ThitmeAmrutvahini COE, Sangamner
Priya ShindeAmrutvahini COE, Sangamner
Swati SonawaneAmrutvahini COE, Sangamner
Sandip PanditAmrutvahini COE, Sangamner

Abstract

Data mining
Decision tree, ID3, C 4.5, Banking System, Risk Percentage
ABSTRACT In this project the main focus is to identify and analyse the risk in giving loan of commercial banks.the domain is data mining so we are using data mining techniques to analyze risk giving loan.it includes analysing and processing data from various resources and summarise into a valuable information. Traditional process of lending is very tedious task because it includes a large manual work.whereas our project is design to automate all the manual work this will increase the speed and accuracy.This will improve the quality of banking system thus improving the customer retention. We are using C4.5 classification algorithm of Data mining.Applying it on a dataset of customer and predicting the risk percentage for individual to give loan.Today, customers have so many opinions with regard to where they can choose to do their business.Executives in the banking industry,therefore,must be aware if they are not giving each customer their full attention,the customer can simply find another bank. Early data analysis techniques were oriented toward extracting quantitative and statistical data characteristics. These techniques facilitate useful data interpretations and can help to get better insights into the processes behind the data. Although the traditional data analysis techniques can indirectly lead us to knowledge, it is still created by human analyst. The banks and many investment companies are pioneers in taking advantage of Data Mining.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. "Data mining techniques to analyze risk giving loan(bank)" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 1 2016 Page 485-490
MLA Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. "Data mining techniques to analyze risk giving loan(bank)." International Journal Of Advance Research And Innovative Ideas In Education 2.1(2016) : 485-490.
APA Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, & Sandip Pandit. (2016). Data mining techniques to analyze risk giving loan(bank). International Journal Of Advance Research And Innovative Ideas In Education, 2(1), 485-490.
Chicago Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. "Data mining techniques to analyze risk giving loan(bank)." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 1 (2016) : 485-490.
Oxford Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. 'Data mining techniques to analyze risk giving loan(bank)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, 2016, p. 485-490. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Data_mining_techniques_to_analyze_risk__giving_loan_bank__ijariie1614.pdf (Accessed : ).
Harvard Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. (2016) 'Data mining techniques to analyze risk giving loan(bank)', International Journal Of Advance Research And Innovative Ideas In Education, 2(1), pp. 485-490IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Data_mining_techniques_to_analyze_risk__giving_loan_bank__ijariie1614.pdf (Accessed : )
IEEE Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit, "Data mining techniques to analyze risk giving loan(bank)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 1, pp. 485-490, Jan-Feb 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Data_mining_techniques_to_analyze_risk__giving_loan_bank__ijariie1614.pdf [Accessed : ].
Turabian Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. "Data mining techniques to analyze risk giving loan(bank)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 1 ().
Vancouver Mrunal Surve, Pooja Thitme, Priya Shinde, Swati Sonawane, and Sandip Pandit. Data mining techniques to analyze risk giving loan(bank). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(1) : 485-490. Available from: http://ijariie.com/AdminUploadPdf/Data_mining_techniques_to_analyze_risk__giving_loan_bank__ijariie1614.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A New Secured Routing Protocol To Minimize the Risk of Link Failure in MANETcomputer EngineeringKOMAL PANDEY Download
A Study of Geometric Pattern Formation by Multiple Mobile RobotsComputer ScienceYadlapaty Srinivas Download
Enhancing the Data and Storage Security for Integrated Cloud and IoT System Using Secure Hash AlgorithmMachine LearningAyesha Siddiqha Mukthar Download
A STUDY OF DATA MINING TECHNIQUES FOR AUTOMATION ONTOLOGYComputer ScienceSreedhar Pulipati Download
SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTIONcomputer engineering,AIMondi Surya Prabha, Download
Prediction of Student Performance Using Machine Learning TechniquesComputer Science and EngineeringMahesh Panjwani Download
Application of Enterprise System in Cloud Networking PlatformComputer ScienceSonam Download
Driver Drowsiness and Distraction Detecting SystemComputer EngineeringGanesh Aravindh V P Download
Bone Fissure Detection in Digital X-ray images by using Image ProcessingCOMPUTER ENGINEERING ASHA RANI Download
A 2-FACTOR SECURE AUTHORIZED DEDUPLICATION USING HARD LOGARITHM CRYPTOGRAPHY IN CLOUDSCOMPUTER SCIENCEDIVYANK MISHRA Download
A Technical Survey on Stock Price Prediction in Machine LearningComputer EngineeringAnbarasu N Download
Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor NetworksCOMPUTER ENGINEERING AMANDEEP Download
A Technical Survey on Cryptography Techniques in Cloud Computing EnvironmentComputer Science And EngineeringGunasundhari. V Download
using uml in software developmentsoftware engineeringIssa H. Manita Download
Analysis of Network Security Threats, Vulnerabilities and Protection Strategy & Implementation of Security Network Monitoring SolutionComputer RngineeringShweta Jha Download
12