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The VLDB Journal
Erschienen in: The VLDB Journal 1/2020

01.07.2019 | Special Issue Paper

Event modeling and mining: a long journey toward explainable events

verfasst von: Xinhong Chen, Qing Li

Erschienen in: The VLDB Journal | Ausgabe 1/2020

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Abstract

Recently, research on event management has redrawn much attention and made great progress. As the core tasks of event management, event modeling and mining are essential for accessing and utilizing events effectively. In this survey, we provide a detailed review of event modeling and event mining. Based on a general definition, different characteristics of events are described, along with the associated challenges. Then, we define four forms of events in order to better classify currently available but somewhat confusing event types; we also compare different event representation and relationship analysis techniques used for different forms of events. Finally, we discuss several pending issues and application-specific challenges which also shed light on future research directions.
Vorheriger Artikel Comparing heuristics for graph edit distance computation
Nächster Artikel Special issue on best papers of VLDB 2017

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Fußnoten
1
We only briefly introduced several existing event query languages since existing event query languages are mostly designed for complex event processing and hence we focused more on the challenges, as to be examined and discussed in Sect. 6.2.4.
 
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Metadaten
Titel
Event modeling and mining: a long journey toward explainable events
verfasst von
Xinhong Chen
Qing Li
Publikationsdatum
01.07.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
The VLDB Journal / Ausgabe 1/2020
Print ISSN: 1066-8888
Elektronische ISSN: 0949-877X
DOI
https://doi.org/10.1007/s00778-019-00545-0

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