Prostate cancer is the second leading cause of cancer-related death among American men. Biopsy for prostate cancer is a procedure known as transrectal ultrasound-guided needle biopsy. Because of the low resolution of ultrasound, the urologist cannot usually distinguish between cancerous and healthy tissue. For this reason, most biopsies follow standard protocols based on long-term experience of...

Many countries in Central and Eastern Europe have been undergoing marked economic changes following the collapse of the former “Eastern Bloc” and totalitarian regimes. In the Czech Republic, this transition has had a profound effect on land use management that subsequently results in widespread land cover changes. This study analyzes trends in land use/land cover changes (LULCC) in the context ...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

The process of information evaluation may compete with the decision making by requiring limited cognitive resources. In case Major Events, such as Football World Cup or Olympic Games, thematic grouping every be overwhelming. theme switching caused associated a different group modelled an interruption in multitasking set-ups. Thus, automating facilitate reducing for maker when he reads set messa...

Our group participated in the categorization task of the TREC Genomics Track. We introduced and investigated a cluster-based approach for classifying documents. We first clustered the abstracts of the negative training examples based on their term distribution, then built a classifier to distinguish between each cluster and the set of positive examples. The large number of resulting classifiers...

In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to partition the initial rule set into thematically coherent subsets. This enables the summarization of the rule set by adequately choosing a representative rule for each subset, and helps in the interactive exploration of t...