Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
In this paper, we address the problem of the efficient exploration of the architectural design space for parameterized systems. Since the design space is multi-objective, our aim ...
Gianluca Palermo, Cristina Silvano, S. Valsecchi, ...
-- Designing for low power has become increasingly important in a wide variety of applications, including wireless telephony, mobile computing, high performance computing, and high...
The role of ontologies in knowledge base systems is gradually increasing. Along with the growth of Internet based applications and ecommerce, the need for easy interoperability bet...