The management of voluminous heterogeneous resources and services in the web environment is a complex task. Semantic knowledge is playing an increasing important role in order to h...
Many scientific applications use scattered data originated from samples. Interpolation techniques are necessary to estimate the values on non-sampled regions. In a previous work, t...
With the ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to su...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
Abstract—In this paper I use Monte Carlo simulated option data to investigate the empirical power of six Risk Neutral Density (RND) estimation techniques. Three alternative appro...