Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
In this paper we describe TinyLime, a novel middleware for wireless sensor networks that departs from the traditional setting where sensor data is collected by a central monitorin...
Carlo Curino, Matteo Giani, Marco Giorgetta, Aless...
Wireless Sensor Networks (WSNs) are increasingly being proposed in scenarios whose requirements cannot be fully predicted, or where the system functionality must adapt to changing ...
Luca Mottola, Gian Pietro Picco, Adil Amjad Sheikh
Large XML data files, or XML databases, are now a common way to distribute scientific and bibliographic data, and storing such data efficiently is an important concern. A number o...