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Frequent itemset mining of distributed uncertain data under user-defined constraints
(Edizioni Libreria Progetto, 2012)
Many existing distributed data mining algorithms do not allow users to express the patterns to be mined according to their intention via the use of constraints. Consequently, these unconstrained mining algorithms can yield ...
Tightening upper bounds to the expected support for uncertain frequent pattern mining
Due to advances in technology, high volumes of valuable data can be collected and transmitted at high velocity in various scientific and engineering applications. Consequently, efficient data mining algorithms are in demand ...
Mining frequent patterns from precise and uncertain data
Data mining has gained popularity over the past two decades and has been considered one of the most prominent areas of current database research. Common data mining tasks include finding frequent patterns, clustering and ...
A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments
Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications. Embedded in these big data are rich sets ...
Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data
Knowledge discovery and data mining generally discovers implicit, previously unknown, and useful knowledge from data. As one of the popular knowledge discovery and data mining tasks, frequent itemset mining, in particular, ...