In order to optimize their revenues and profits, an increasing number of businesses organize their business activities in terms of business processes. Typically, they automate imp...
Marko Vrhovnik, Holger Schwarz, Oliver Suhre, Bern...
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
In this paper, we describe our experiences in building and evolving an XQuery engine with a focus on data and service federation use cases. The engine that we discuss is a core co...
Michael Blow, Vinayak R. Borkar, Michael J. Carey,...
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
This paper investigates the problem of writing data to passive RFID tag memory and proposes a reprocessing model for assuring the atomicity and durability of writing transactions i...