The MLA Knowledge and Skills Task Force was appointed in May 1989. The task force decided to survey a sample of the membership to define the knowledge and skills required for competent professional performance and to enable MLA to establish educational policies which would ensure acquisition and maintenance of the necessary knowledge and skills throughout a professional career. This report pres...

A number of techniques have been developed to turn data into useful knowledge. Most of the algorithms in data mining find association rules among transactions using binary values and at single concept level. However it will be more exciting to discover hierarchical association rules for decision makers. In this work we have integrated association rule mining with fuzzy set theory and hierarchy....

The goal of data mining is to find out interesting and meaningful patterns from large databases. In some real applications, many data are quantitative and linguistic. Fuzzy data mining was thus proposed to discover fuzzy knowledge from this kind of data. In the past, two mining algorithms based on the ant colony systems were proposed to find suitable membership functions for fuzzy association r...

Mining hybrid dimension fuzzy association rule is one of the important processes in data mining . Apriori algorithm concerned with handling single level, single dimensional association rules. this paper is presenting, a new modification in joining process to reduce the redundant generation of sub items during pruning the candidate itemsets, which can obtain higher efficiency of mining that of o...

BACKGROUND Differences exist in the perception and enactment of professional values among practicing registered nurses (RNs). Hall's Care, Cure, and Core model was used as a framework for this study. METHODS This study compared perceptions of professional values of 198 RNs according to their level of nursing education and other potentially influencial factors. An online survey developed by th...