Maritime Situational Awareness (ie, an effective understanding of activities in and impacting
the maritime environment) can be significantly improved by knowledge discovery of maritime …

Data mining techniques extract repeated and useful patterns from a large data set that in
turn are utilized to predict the outcome of future events. The main purpose of the research …

In the field of construction engineering and management, archival data sets are not always
as correct and consistent as it would be desirable. Between different sources that are …

Background: Clinical pathways are evidence-based recommendations for treating a
diagnosis. Although implementations of clinical pathways have reduced medical errors …

The recent advances in data mining have produced algorithms for extracting hidden and
potentially useful knowledge in large data sets, which are assumed to be complete and …

To gain competitiveness and sustained growth in the 21st century, most businesses are on a
mission to become more customer-centric. In order to succeed in this endeavor, it is crucial …

The objective of research was to present the conceptual framework for creating criteria for
quality of knowledge in knowledge management systems. This research demonstrated the …

This paper considers approaches to the computation of association rules for intuitionistic
fuzzy data. Association rules can provide guidance for assessing the significant …

In economic decision problems such as credit loan approval or risk analysis, models are
required to be monotone with respect to the decision variables involved. Also in hedonic …

Large amounts of data are collected by public administrations and healthcare organizations,
the integration of the data scattered in several information systems can facilitate the …