Die Arbeitsmarktpolitik in Deutschland ist seit Jahren vorrangig auf die schnelle Wiedereingliederung von Arbeitslosen unter besonderer Berücksichtigung sog. Problemgruppen ausgerichtet. Dabei stellt sich die Frage, welche Maßnahmen wie gut geeignet sind, dieses Ziel mikro- und...

Multiple natural experiments of large jackpot lotteries in Taiwan are used to document a substitution effect between individual investor trading and lottery buying. We establish five key findings. First, when the jackpot exceeds 500 million Taiwan dollars (about 15 million U.S. dollars), the...

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...

Following the events of September 11, 2001, many in the American public falsely believe they must choose between safety and privacy. This paper proposes an approach to technology (termed “Selective Revelation”) that allows data to be shared for surveillance purposes such that shared data...