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Short Bio: Professor Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data & analytics, customer relationship management, web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research, …) and presented at international top conferences. He is also author of the books Credit Risk Management: Basic Concepts (http://goo.gl/T6FNOn) , published by Oxford University Press in 2008; and Analytics in a Big Data World (goo.gl/k3kBrB), published by Wiley in 2014. His research is summarized at www.dataminingapps.com. He also regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy.

My Web Site Or LinkedIn Profile: http://www.dataminingapps.com

Professional Status: Professor

Years of Experience:: 15

Your Company:: KU Leuven

Industry:: Academic

Interests:: Networking

What is your Favorite Data Mining or Analytical Website?: http://kdnuggets.com

Bart Baesens's Blog

Who are our Data Quality Heroes?

Posted on June 27, 2018 at 10:30pm 0 Comments 0 Likes

Who are our Data Quality Heroes?

Lemahieu W., vanden Broucke S., Baesens B.

This article is based upon our upcoming book Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data, www.pdbmbook.com See also our corresponding…

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A Database Perspective on Data Security

Posted on May 21, 2018 at 2:30am 0 Comments 0 Likes

In this column, we would like to elaborate on the concept of data security.

Although security is often related to privacy, they are not synonyms. Data security can be defined as the set of policies and techniques to ensure the confidentiality, availability and integrity of data at all times. On the other hand, data privacy refers to the fact that the parties accessing and using the data do so only in ways that comply with the agreed upon purposes of data…

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