Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
We briefly introduce the notion of Semantically Enhanced Library Languages, SELL, as a practical and economical alternative to special-purpose programming languages for high-perfo...
Mobile computing based upon wireless technology as the interconnect and PDAs, Web-enabled cell phones etc. as the end devices provide a rich infrastructure for anywhere, anytime i...