Money laundering regulatory risk evaluation using bitmap index-based decision tree
Joint Authors
Jayasree, Vikas
Siva Balan, R. V.
Source
Arab Journal of Basic and Applied Sciences
Issue
Vol. 23, Issue 0 (30 Jun. 2017), pp.96-102, 7 p.
Publisher
University of Bahrain College of Science
Publication Date
2017-06-30
Country of Publication
Bahrain
No. of Pages
7
Main Subjects
Business Administration
Financial and Accounting Sciences
Topics
Abstract EN
This paper proposes to evaluate the adaptability risk in money laundering using Bitmap Index-based Decision Tree (BIDT) technique.
Initially, the Bitmap Index-based Decision Tree learning is used to induce the knowledge tree which helps to determine a company’s money laundering risk and improve scalability.
A bitmap index in BIDT is used to effectively access large banking databases.
In a BIDT bitmap index, account in a table is numbered in sequence with each key value, account number and a bitmap (array of bytes) used instead of a list of row ids.
Subsequently, BIDT algorithm uses the ‘‘select” query performance to apply count and bit-wise logical operations on AND.
Query result coincides exactly to build a decision tree and more precisely to evaluate the adaptability risk in the money laundering operation.
For the root node, the main account of the decision tree, the population frequencies are obtained by simply counting the total number of ‘‘1” in the bitmaps constructed on the attribute to predict money laundering and evaluate the risk factor rate.
The experiment is conducted on factors such as regulatory risk rate, false positive rate, and risk identification time.
American Psychological Association (APA)
Jayasree, Vikas& Siva Balan, R. V.. 2017. Money laundering regulatory risk evaluation using bitmap index-based decision tree. Arab Journal of Basic and Applied Sciences،Vol. 23, no. 0, pp.96-102.
https://search.emarefa.net/detail/BIM-766168
Modern Language Association (MLA)
Jayasree, Vikas& Siva Balan, R. V.. Money laundering regulatory risk evaluation using bitmap index-based decision tree. Arab Journal of Basic and Applied Sciences Vol. 23 (Jun. 2017), pp.96-102.
https://search.emarefa.net/detail/BIM-766168
American Medical Association (AMA)
Jayasree, Vikas& Siva Balan, R. V.. Money laundering regulatory risk evaluation using bitmap index-based decision tree. Arab Journal of Basic and Applied Sciences. 2017. Vol. 23, no. 0, pp.96-102.
https://search.emarefa.net/detail/BIM-766168
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 102
Record ID
BIM-766168