Rare pattern mining: challenges and future perspectives View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Anindita Borah, Bhabesh Nath

ABSTRACT

Extracting frequent patterns from databases has always been an imperative task for the data mining community. Literature has endowed plentiful endeavors to this research area with significant breakthroughs. Mining of rare patterns although being subsided has proved to be of vital importance in many domains. The application of rare pattern mining is inevitable and thus has become an emerging field of research. However, discovering rare patterns from databases comes up with numerous challenges. This article provides a concise overview of the various research issues involved in rare pattern mining through experimental analysis using real-life and synthetic datasets. Rare pattern mining being a new area has abundant scope and there are still certain gaps that need to be filled. In this article, we also present some viable future directions for the researchers to better perceive the area of rare pattern mining. More... »

PAGES

1-23

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    URI

    http://scigraph.springernature.com/pub.10.1007/s40747-018-0085-9

    DOI

    http://dx.doi.org/10.1007/s40747-018-0085-9

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    https://app.dimensions.ai/details/publication/pub.1109805810


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