Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
UN/CEFACT’s modeling methodology (UMM) is used to develop global choreographies of inter-organizational business processes. UMM models should be publically available in order to...
Birgit Hofreiter, Christian Huemer, Marco Zapletal
Rising interest in the applications of wireless sensor networks has spurred research in the development of computing systems for lowthroughput, energy-constrained applications. Un...
This paper presents the model of e-market structure and process analysis of tourism e-commerce. First the tourism e-commerce status quo is given clearly; secondly e-commerce and i...