Nonoccurring behavior analytics: a new area

Longbing Cao; Philip S. Yu; Vipin Kumar

doi:10.1109/MIS.2015.105

Nonoccurring behavior analytics: a new area

Longbing Cao, Philip S. Yu, Vipin Kumar

Research output: Contribution to journal › Comment/opinion › peer-review

30 Citations (Scopus)

Abstract

Nonoccurring behaviors (NOBs) refer to those behaviors that should happen but do not take place for some reasons. They are widely seen in online, business, government, health, medical, scientific, and social data and applications. Very limited research has been undertaken to explore such behaviors owing to their invisibility and the significant challenges in analyzing NOBs. This article outlines the concept, intrinsic characteristics, significant challenges, main issues, research directions, and state-of-the-art work related to NOBs, followed by the prospects for and applications of NOB analytics.

Original language	English
Pages (from-to)	4-11
Number of pages	8
Journal	IEEE Intelligent Systems
Volume	30
Issue number	6
DOIs	https://doi.org/10.1109/MIS.2015.105
Publication status	Published - 2015
Externally published	Yes

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10.1109/MIS.2015.105

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abstract = "Nonoccurring behaviors (NOBs) refer to those behaviors that should happen but do not take place for some reasons. They are widely seen in online, business, government, health, medical, scientific, and social data and applications. Very limited research has been undertaken to explore such behaviors owing to their invisibility and the significant challenges in analyzing NOBs. This article outlines the concept, intrinsic characteristics, significant challenges, main issues, research directions, and state-of-the-art work related to NOBs, followed by the prospects for and applications of NOB analytics.",

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AB - Nonoccurring behaviors (NOBs) refer to those behaviors that should happen but do not take place for some reasons. They are widely seen in online, business, government, health, medical, scientific, and social data and applications. Very limited research has been undertaken to explore such behaviors owing to their invisibility and the significant challenges in analyzing NOBs. This article outlines the concept, intrinsic characteristics, significant challenges, main issues, research directions, and state-of-the-art work related to NOBs, followed by the prospects for and applications of NOB analytics.

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Nonoccurring behavior analytics: a new area

Abstract

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