We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for mulitple ...
Software reuse technologies have been a driving force in significantly reducing both the time and cost of software specification, development, maintenance and evolution. However, t...
Abstract. In this paper, we present and analyze a framework for selfevolving autonomic services in a wireless nomadic environment. We present a disconnected network architecture, w...
Iacopo Carreras, Francesco De Pellegrini, Daniele ...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...