Mining Frequent Patterns on Object-Relational Data
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract : Data mining is viewed as an essential part of the process towards knowledge discovery. Through data mining process different kinds of patterns that is frequent pattern and others, are discovered, evaluated and presented as knowledge. Mining data from large database repositories which contains vast amount of data is not only interesting but also essential since it yields useful and novel information which aid organizations and other individuals in decision making. Many previous research works based on frequent pattern miningalgorithm and association rule mining are focused on transactional data, yet there are other interesting types of data which requires just about same study in order to perform mining techniques on them so as to discover novel information. This paper elaborates mining of Object-relational data in relation to transactional data as a base of understanding, later uses differed mining algorithms to uncover frequent patterns and evaluate performances of these algorithms. Two approaches for this mining task was proposed, namely fundamental approach and nested-relations approach.
Authors and Affiliations
Juliana Lucas Mbuke , Lu Songfeng
Keywords
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