Interest is an important concept in psychology and pedagogy and is widely studied in many
fields. Especially in recent years, the widespread use of many interest-based …

Medical research is constantly evolving which requires doctors to discover frequently new
knowledge. However, the acquisition of new knowledge in the medical field requires careful …

With the enormous growth of the content and users of social network, user portrait based on
social network have been widely used in industrial applications such as artificial …

Finding frequent patterns in a huge transaction database has wide scope in research. Here
in this paper we consider three of the algorithms in an association rule namely Apriori …

Association rule mining is an iterative and interactive process of discovering valid, novel,
useful, understandable and hidden associations from the massive database. The Colossal …

Data Mining is the technique of automated extraction of interesting data patterns used to
represent knowledge, from the large data sets but sometimes these datasets are divided …

This work proposes a competence-based approach, enriched by consensus, for deciding on
team compositions, in particular, time-and qualitydependent contexts, where teams have to …

Data mining is used to extract important knowledge from large datasets, but sometimes
these datasets are split among various parties. Association rule mining is one of the data …

Nosocomial Infections (NI) have been the major causes of morbidity and mortality of patients
in intensive care units (ICUs) particularly in developing countries. Intensive surveillance and …

This paper focuses on improvements of logistics via removal of weakness points inside the
district Agro Nocerino Sarnese (Italy, region Campania), famous for the export of products of …