Decision Support Systems

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference

A Framework for Resource Management in Peer-to-Peer Networks" presented at NetObjectdays

Abstract. The huge amount of recent activities in peer-to-peer (P2P) computing led to the development of a number of applications and protocols all dealing with similar problems and providing different noninteroperable implementations. In this paper, we present a framework for resource management and information storage in P2P networks. Our framework aims at providing an easy to use and flexible model for P2P computing encouraging more modularized application development and permitting reuse of components. To provide efficient localization of resources and representation of information, our resource management framework (RMF) forms a distributed information space enabling not only flat storage of information but forming graph structures that can be used to build new kinds of applications enabling the users to browse the contents of a P2P network.