Most work with geospatial data, whether for scientific analysis, urban and environmental
planning, or business decision making is carried out by groups. In contrast, geographic …

Geographic research, decision-making and education are, more than ever before, group
activities. The methods and tools of cartography and geographic information systems …

For hard computational problems, stochastic local search has proven to be a competitive
approach to finding optimal or approximately optimal problem solutions. Two key research …

A Bayesian belief network (BBN) methodology is proposed for combining evidence to better
characterize contamination events and reduce false positive sensor detections in drinking …

In this paper, we focus on extending geovisualization methods and tools to support the work
of groups. More specifically, we consider the role of map-based displays in facilitating …

Stochastic local search (SLS) algorithms have recently been proven to be among the best
approaches to solving computationally hard problems. SLS algorithms typically have a …

One of the main approaches to performing computation in Bayesian networks (BNs) is clique
tree clustering and propagation. The clique tree approach consists of propagation in a clique …

This article presents and analyzes algorithms that systematically generate random Bayesian
networks of varying difficulty levels, with respect to inference using tree clustering. The …

This dissertation focuses on efficient approximate Bayesian network inference for computing
the most probable explanation. New algorithms for efficient approximate inference are …

In order to improve the security in the process of audio files in Internet communication, first
Construct a generating chaotic sequence of six dimensional cellular neural network model …