Exposure to air pollution has been related with vary adverse health effects. This study aims
to assess the impact of air pollution to the number of hospitalization for respiratory illness in …

This study proposes air pollution monitoring system and analysis of pollution data using
association rule data mining technique. Association rule data mining technique aims at …

The occurrence of lung cancer has fully augmented since the early 19th century. In this
manuscript, we have discussed various data mining techniques that have been employed …

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------------------------Aiming at the smoking habits of youth in India, we collected the data from a …

Data mining is used to find out the meaningful information from the large dataset. Data
mining plays vital role in various domains including healthcare, banking, retail, education …

Data mining technologies have been used extensively in the commercial retail sectors to
extract data from their “big data” warehouses. In healthcare, data mining has been used as …

Association rule mining is an effective data mining technique which has been used widely in
health informatics research right from its introduction. Since health informatics has received …

Data mining is an attitude that business actions should be based on learning, that informed
decisions are better than uninformed decisions, and measuring results is highly beneficial to …

Traffic accidents are one of the causes of high mortality in the community. Based on
information from the World Health Organization (WHO) the number of accident victims in …

In this study, association rules analysis of the data mining techniques are used for data of
traffic accidents in 2010 and some rules are obtained. With this rules, what is the possibility …