Executive Update

Beyond the Hype: Cloud Computing in Analytics

Posted October 3, 2012 | Technology |

Machine learning (ML) techniques, often referred to as predictive analytics or marketing analytics, are becoming commonplace in business and research alike. Regardless of name, all refer to the process of collecting and processing data along with the subsequent application of mathematical analysis to gain valuable insights.

About The Author
Karel Dejaeger
Seppe vanden Broucke
Seppe vanden Broucke is working as a postdoctoral researcher at the department of Decision Sciences and Information Management at KU Leuven. His research interests include business data mining and analytics, machine learning, process management, process mining. His work has been published in well-known international journals and presented at top conferences. He uses Java daily, giving him insight into useful applications for practitioners.
Tuomas Eerola
Rainer Wehkamp
Lieve Goedhuys
Bart Baesens
Bart Baesens is a professor of Big Data and Analytics at KU Leuven (Belgium) and a lecturer at the University of Southampton (UK). He has done extensive research on big data and analytics, credit risk modeling, fraud detection, and marketing analytics. He has written more than 200 scientific papers, some of which have been published in well-known international journals (e.g., MIS Quarterly, Machine Learning, Management Science, MIT Sloan… Read More
Don’t have a login? Make one! It’s free and gives you access to all Cutter research.