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PROJECT TITLE :

Nonoccurring Behavior Analytics: A New Area

ABSTRACT:

Nonoccurring behaviors (NOBs) ask those behaviors that ought to happen but don't take place for a few reasons. They are widely seen in online, business, government, health, medical, scientific, and social data and applications. Terribly restricted research has been undertaken to explore such behaviors because of their invisibility and the many challenges in analyzing NOBs. This article outlines the concept, intrinsic characteristics, significant challenges, main issues, analysis directions, and state-of-the-art work related to NOBs, followed by the prospects for and applications of NOB analytics.


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