The use of advanced data mining techniques to improve decision making has already taken root in property and casualty insurance as well as in many other industries [1, 2]. However, the application of such techniques for more objective, consistent and optimal decision making in the life insurance industry is still in a nascent stage. This article will describe ways data mining and multivariate a...

The social mind is tailored to the problem of predicting the mental states and actions of other people. However, social cognition researchers have only scratched the surface of the predictive social mind. We discuss here a new framework for explaining how people organize social knowledge and use it for social prediction. Specifically, we propose a multilayered framework of social cognition in w...

Degradation of dye solar cell performance based on the early changes in electrolyte color is predicted, allowing to estimate lifetime cells even before their efficiency declines. Previous predictive models commonly rely regression analysis predicted parameter; thus, they are unable capture degradation a significant decrease performance. tests, when accelerated, may take thousands hours. As such...

Modeling and predicting user surfing paths involves tradeoffs between model complexity and predictive accuracy. In this paper we explore predictive modeling techniques that attempt to reduce model complexity while retaining predictive accuracy. We show that compared to various Markov models, longest repeating subsequence models are able to significantly reduce model size while retaining the abi...