The analysis of apriori algorithm for structured and unstructured data

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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  • EP ID EP576426
  • DOI -
  • Views 160
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How To Cite

Yevheniya Levus, Nadiya Nechypir, Yurii Polyniak (2017). The analysis of apriori algorithm for structured and unstructured data. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì, 872(), 62-68. https://europub.co.uk./articles/-A-576426