Itemset mining is an important subfield of data mining, which consists of discovering interesting and useful patterns in transaction databases. The traditional task of frequent itemset mining is to discover groups of items (itemsets) that appear frequently together in transactions made by customers. Although itemset mining was designed for market basket analysis, it can be viewed more generally...

Data mining finds useful patterns from the large dataset. Data analysis techniques that are frequent itemset mining and association rule mining are two popular and broadly utilized for different applications. Personal or sensitive information of individuals, industries or organizations must be kept private before it is shared for the data mining. Hence privacy preserving data mining has become ...

Nowadays, the Web has become one of the most pervasive platforms for information change and retrieval. It collects the suitable and perfectly fitting information from websites that one requires. Data mining is the form of extracting data’s available in the internet. Web mining is one of the elements of data mining Technique, which relates to various research communities such as information reco...

Birth defects are examined in mountaintop coal mining areas compared to other coal mining areas and non-mining areas of central Appalachia. The study hypothesis is that higher birth-defect rates are present in mountaintop mining areas. National Center for Health Statistics natality files were used to analyze 1996-2003 live births in four Central Appalachian states (N=1,889,071). Poisson regress...