Paper Info
Title
Exploiting higher-order dependencies for process analytics.
Abstract
Purpose The purpose of this paper is to present a methodology to reveal complex events structures in events' occurrences by analyzing event databases, targeting to systematizing events' analysis and surpassing the need for idiographic approaches. Design/methodology/approach A process-oriented point of view is enabled by purposeful data transformations, and higher-order dependencies are discovered and exploited to capture the flows among the events. Findings Political events do not follow a linear movement that is implied by a sequence, but they occur in varying patterns that cannot be reflected accurately when assuming only first-order dependencies. Originality/value The methodology suggests a novel way to look and to analyze raw event data and it offers an accessible, practicable and supplementary tool as it does not disturb any of the established relevant research designs, and it does not require any additional data to be applied.
Year
DOI
Venue
2020
10.1108/K-09-2018-0500
KYBERNETES
Keywords
DocType
Volume
Process analytics,Event analysis,Greece's referendum,Higher-order networks
Journal
49.0
Issue
ISSN
Citations 
SP4.0
0368-492X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Pavlos Delias17212.00
Ioannis Kazanidis211020.08