Abstract— We consider a single-cell multiple-input multipleoutput (MIMO) downlink channel where linear transmission and reception strategy is employed. The base station (BS) tran...
Transaction-time temporal databases and query languages provide a solid framework for analyzing properties of queries over data streams. In this paper we focus on issues connected...
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
MB++ is a system that caters to the dynamic needs of applications in a distributed, pervasive computing environment that has a wide variety of devices that act as producers and co...
David J. Lillethun, David Hilley, Seth Horrigan, U...
Many emerging applications operate on continuous unbounded data streams and need real-time data services. Providing deadline guarantees for queries over dynamic data streams is a ...
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
We consider a single-cell multiple-input multiple-output (MIMO) downlink channel where linear transmission and reception strategy is employed. The base station (BS) transmitter is...
—In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers that needs to be carefully managed ...
Weiping Wang 0001, Jianzhong Li, Chunyu Ai, Yingsh...
In this paper we show the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the ana...
Andreas Behrend, Christian Dorau, Rainer Manthey, ...
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...