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New trends and applications in data mining
Over the past few years, data mining has grown from a relatively unknown discipline into a widespread billion dollar business. Being first only adopted in the retail and banking sectors, we can nowadays observe a proliferation of the application domains, like for instance in e-commerce, terrorism prevention, RFID, software engineering, pharmaceutics, and bio-informatics. In this presentation, we cover some of these recent application domains and explain how data mining can contribute towards an increased efficiency in these fields. In the second part, we present some new data mining techniques that are expected to make a rapid transition into business environments. Techniques that will be discussed are, amongst others, support vector machines (SVMs), Bayesian network classifiers, bagging and boosting, and multirelational data mining
Survival analysis for personal loan data using generalized additive models
status: Publishe
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