Mit dem Begriff Internet der Dinge (IOT) wird eine im Entstehen begriffene globale, Internet-basierte Architektur von Informationsdiensten bezeichnet, die Informationen Ÿber mit RFID-Chips versehene GegenstŠnde bereitstellt. Das IOT soll den Informationsaustausch Ÿber GŸter in in globalen...

Radiofrequenz-Identifikation (RFID) ermöglicht eine automatische Erfassung von verschiedenen Objekten ohne Sichtkontakt und verspricht durch diese Eigenschaften eine maßgebliche Verbesserung der Effizienz in Wertschöpfungsketten. Die Verbreitung der RFID-Technologie hat in den letzten Jahren...

Elektroninio verslo vadybos magistro baigiamojo darbo tema „Telemetrijos technologijų diegimas verslo sektoriuje“ aktuali, nes šios technologijos panaudojimas versle nuolat plečiasi, rinkoje atsiranda vis daugiau naujų produktų. Telemetrijos technologija ateityje turėtų smarkiai...

Die kumulative Dissertation beschreibt in 14 Fachartikeln die sogenannte Support Vektor Maschine als eine aktuell diskutierte Methodik zur Lösung betriebswirtschaftlicher Klassifikationsprobleme. Die Klassifikation wird dabei als eine Aufgabenstellung des Data Minings verstanden, welches die...

The study of complex systems should be based on a systems-theoretic framework which requires both self-organizing and symbolic dimensions. An inclusive framework based on the notion of semiotics is advanced to build models capable of representing, as well as evolving in their environments, with...

We identify a general framework for weak planning called bootstrap planning, which is defined as global planning using only a local planner along with some memory for learning intermediate subgoals. We present a family of algorithms for bootstrap planning, and provide some initial theory on...

There is a recognised need for the continued improvement of both the techniques and technology for spatial decision support in infrastructure site selection. Many authors have noted that current methodologies are inadequate for real-world site selection decisions carried out by heterogeneous...

When large numbers of alerts are reported by intrusion detection (ID) systems in very fine granularity, it prevents system administrators from handling the alerts effectively. This in turn degrades the usability of an intrusion detection system. Aside from detection, timely responses of...

Machine learning has become one of the most active and exciting areas of computer science research, in large part because of its wide-spread applicability to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical...

Intelligent Product Recommendation Agents have been used for some time now by large, well known Internet businesses such as Amazon and Netflix. Unfortunately there is little research assessing the effectiveness of these systems in influencing online consumer behavior. Businesses that sell...