The analysis of apriori algorithm for structured and unstructured data
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2017, Vol 872, Issue
Abstract
Apriori algorithm is analyzed as a search method of associative rules in structured and unstructured data in terms of the number of discovered rules, performance and requirements for computing resources. Unstructured data are closely related to the term ’Big Data’. One of the main tasks of data engineering is the detection of unstructured information processing means. There has been developed a software system to perform computational experiments that processes data using Apriori algorithm, which subject area is trade. Such system can be a prototype for real recommendation system. The software solution is developed on stack of Hadoop technology.
Authors and Affiliations
Yevheniya Levus, Nadiya Nechypir, Yurii Polyniak
Keywords
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