Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Multi-agent systems where the members are developed by parties with competing interests, and where there is no access to a member’s internal state, are often classified as ‘o...
This paper presents λI , a language for dynamic tracking of information flow across multiple, interdependent dimensions of information. Typical dimensions of interest are integr...