University of Bahrain
Scientific Journals

Money laundering regulatory risk evaluation using Bitmap Index-based Decision Tree

Show simple item record Jayasree, Vikas Balan, R.V. Siva 2018-07-30T06:59:00Z 2018-07-30T06:59:00Z 2017-06
dc.identifier.issn 1815-3852
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Money laundering
dc.subject Decision tree
dc.subject Sequence
dc.subject Bitmap index
dc.subject Banking database
dc.subject Regulatory risks
dc.title Money laundering regulatory risk evaluation using Bitmap Index-based Decision Tree en_US
dc.type Article en_US
dc.volume 23
dc.issue 1
dc.pagestart 96
dc.pageend 102
dc.source.title Arab Journal of Basic and Applied Sciences
dc.abbreviatedsourcetitle AJBAS

Files in this item

This item appears in the following Issue(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International

All Journals

Advanced Search


Administrator Account