Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
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-12,Issue-1. 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: :  A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree
PaperId: :  5314
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5314
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vikram Gajanan LachakeJES's SND COE & RC, Yeola
Prakash P.RokadeJES's SND COE & RC, Yeola

Abstract

Computer Engineering
Fraud Detection, Data set, One Class Clustering Tree, Data Deduplication, Record Linkage.
There is need to compare records in one data set with records in another data set due to increased awareness in many countries of the potential of record linkage for fraud detection. Record linkage is traditionally performed among tables to cluster the data. The proposed method aims to perform One-to-many data linkage for fraud detection i.e. to associate one record in Table A with one or more matching records in Table B based on OCCT tree. The OCCT tree provides One-to-many record linkage between objects of same or different types. It is easy to build OCCT tree and convert into linkage rules. The inner nodes of OCCT tree contains attribute from table A and the leafs holds a compact representation of a subset of records from Table B which are more likely to be linked with record from Table A, whose values are according to the path from the root of the tree to the leaf.. The OCCT tree is induced small amount of using splitting and pruning methods and contains nodes to avoid over fitting. Old methods are taken long time for one-to-many linkage. The OCCT based on One Class approach that is it considers only positive examples (matching examples). Hence the proposed method provides better performance in terms of precision and recall as compared to C4.5 decision tree-based linkage method.

Citations

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

IJARIIE Vikram Gajanan Lachake, and Prakash P.Rokade. "A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 1399-1406
MLA Vikram Gajanan Lachake, and Prakash P.Rokade. "A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 1399-1406.
APA Vikram Gajanan Lachake, & Prakash P.Rokade. (2017). A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 1399-1406.
Chicago Vikram Gajanan Lachake, and Prakash P.Rokade. "A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 1399-1406.
Oxford Vikram Gajanan Lachake, and Prakash P.Rokade. 'A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 1399-1406. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Fraud_Detection_Using_One_to_Many_Data_Linkage_of_One_Class_Clustering_Tree_ijariie5314.pdf (Accessed : ).
Harvard Vikram Gajanan Lachake, and Prakash P.Rokade. (2017) 'A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 1399-1406IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Fraud_Detection_Using_One_to_Many_Data_Linkage_of_One_Class_Clustering_Tree_ijariie5314.pdf (Accessed : )
IEEE Vikram Gajanan Lachake, and Prakash P.Rokade, "A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 1399-1406, May-Jun 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Fraud_Detection_Using_One_to_Many_Data_Linkage_of_One_Class_Clustering_Tree_ijariie5314.pdf [Accessed : ].
Turabian Vikram Gajanan Lachake, and Prakash P.Rokade. "A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 ().
Vancouver Vikram Gajanan Lachake, and Prakash P.Rokade. A Fraud Detection Using One-to-Many Data Linkage of One Class Clustering Tree. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(3) : 1399-1406. Available from: http://ijariie.com/AdminUploadPdf/A_Fraud_Detection_Using_One_to_Many_Data_Linkage_of_One_Class_Clustering_Tree_ijariie5314.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12