A fundamental question is how to detect likely successful anticancer treatments based on nanotechnology. We confront this question here by analysing the trajectories of nanotechnologies applied to path-breaking cancer treatments, which endeavour to pinpoint ground-breaking and fruitful...

The data quality is an important concept for the economic applications used in the process of analysis. The databases were revolutionized when they first started being used with large amountsof data. From this point on, an important process is represented by storing multidimensional data in...

A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and...

Due to the present-day memory sizes, a memory-resident database has become a practical option. Consequently, new methods designed to mining in such databases are desirable. In the case of disk-resident databases, breadth-first search methods are commonly used. We propose a new algorithm, based...

There are various methods and scales used for determining the deviations of the baby growth. A scale has been applied to 40 babies in the 12, 24 and 36 month periods and language development has been explained by the period of breast feeding without any additional food, social-emotional...

We propose a novel approach to cross-sectional equities sample selection, derived from best market practice in index construction and focused on investability. Using the UK market as a template, we first demonstrate how the popular Datastream dataset is plagued by data deficiencies that would...

Entrepreneurship, in general, and rural entrepreneurship, in particular, has become a dynamic field of research in the last two decades. It seems therefore timely to present a quantitative survey of the literature in this area, aimed at identifying the most important sub-topics, contributors and...

The phenomenon of population ageing and its influence on the economic growth of countries has long been the focus of major concern for both governments and the scientific community. Considering the scientific contributions that have been published on the matter in recent years, it seems timely...

This paper shows a fuzzy relational clustering method in order to perform the clustering of symbolic data. The presented method yields a fuzzy partition and prototype for each cluster by optimizing an adequacy criterion based on suitable dissimilarity measures. This work considers two...

The recording of symbolic data has become a common practice with the advances in database technologies. This paper shows hard and fuzzy relational clustering in order to partition symbolic data. These methods optimize objective functions based on a dissimilarity function. The distance used is a...