Monitoring and adjusting financial health problems play central role in the firm’s performance.Usually, small firms face difficulties in these tasks for lacking human resources and incapacityto afford a consultant. By analyzing the nature of the diagnosis and the solution of financialproblems...

Deterministische Discounted Cash Flow Modelle (DCF-Modelle) greifen im Rahmen der Unternehmensbewertung lediglich auf einwertige Größen zurück. Bei stochastischen Modellen werden einzelne Plangrößen hingegen mehrwertig dargestellt, indem aus Wahrscheinlichkeitsverteilungen verschiedene...

Many companies are using only a portion of what is needed in terms of Information Technologies (IT) and this has caused the researcher to study how best MSD can effectively utilize Management Information Systems (MIS). The objective that directed the study was to investigate value addition by...

An agent is generally defined as an entity capable of perceiving its environment and accomplishing a particular action without explicit instruction. Blindly taking directives without thinking is typically not intelligent, so rather a software agent is deemed intelligent if it may be...

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...