[Q&A Session] Data Mining for Fraud Detection in Large Scale Financial Transactions
Channel: Lighton Phiri
Date: 2020-06-17

Question and answer session for the talk given by Knox Kamusweke, from National Savings and Credit Bank. The actual talk is available here [1]

Knox Kamusweke gave a talk titled "Data Mining for Fraud Detection in Large Scale Financial Transactions" on Tuesday, June 16, 2020, at 17H00 GMT+2. 

This talk is part of a series of seminars organised as part of the "CSC 5741: Data Mining and Warehousing" [2] postgraduate course in the Department of Computer Science [3] at The University of Zambia [4]


## Abstract

Fraud is difficult to prevent and detect because it is an irregular, imperceptibly hidden, time-evolving, and usually carefully planned crime that can take many forms. This has continued to negatively affect many banks business operations and reputations, deterring future prospects and current customers alike to continue transacting with them. Consequently, for any fraud detected, the bank ends up paying for the losses. Detecting fraud related patterns and the trend has therefore remained the biggest challenge because the current approaches used are ill-equipped, static-rule based implementing a detection logic looking for specific, predetermined patterns in the transactions and usually done through targeted audits.
This talk will provide a brief overview of fraud detection using data mining involving techniques at the intersection of machine learning, insight statistics and data warehouse systems. The main focus of the talk will be on an end-to-end process of a data mining project, how data was collected and how the evaluation and deployment of a model was done using both unsupervised and supervised learning techniques.

## Biography

Knox Kamusweke boasts of 10 years work experience in both private and public sector combined. He has held positions such as Customer Support Associate at  Airtel Zambia for two years before moving to United Bank for Africa (UBA) where he served as a the Country Network & Infrastructure Support Officer for two years. He is currently working for National Savings and Credit Bank [4] as the Acting Manager for IT Communications and Infrastructure Services prior to which he served as a Senior Database Administrator within the same institution. Knox holds a Bachelor of Science Degree (Honours) in Computing from the University of Greenwich, certifications in: Information Technology Infrastructure Library (ITIL), DevOps Architect Masters, Agile Scrum Master (ASM), Deep Learning and Data Science (using R and Python). Knox is currently a Master of Science Candidate in Computer Science at the University of Zambia [3, 4]. 

## About CSC 5741 Seminar Series

The CSC 5741 colloquium is part of a series of seminars for the CSC 5741 course [2] in the Department of Computer Science [3] at The University of Zambia [4].

[1] https://youtu.be/ue6VfVffwdo
[2] http://lis.unza.zm/~lightonphiri/teaching/unza/2020/csc5741 
[3] http://www.cs.unza.zm 
[4] https://www.unza.zm
[5] http://www.natsave.co.zm