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Erschienen in:
“It Could Be Worse, It Could Be Raining”: Reliable Automatic Meteorological Forecasting for Holiday Planning Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

A Taxonomy of Event Prediction Methods

verfasst von : Fatma Ezzahra Gmati, Salem Chakhar, Wided Lejouad Chaari, Mark Xu

Erschienen in: Advances and Trends in Artificial Intelligence. From Theory to Practice

Verlag: Springer International Publishing

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Abstract

Most of existing event prediction approaches consider event prediction problems within a specific application domain while event prediction is naturally a cross-disciplinary problem. This paper introduces a generic taxonomy of event prediction approaches. The proposed taxonomy, which oversteps the application domain, enables a better understanding of event prediction problems and allows conceiving and developing advanced and context-independent event prediction techniques.

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Vorheriges Kapitel “It Could Be Worse, It Could Be Raining”: Reliable Automatic Meteorological Forecasting for Holiday Planning
Nächstes Kapitel Infilling Missing Rainfall and Runoff Data for Sarawak, Malaysia Using Gaussian Mixture Model Based K-Nearest Neighbor Imputation
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Metadaten
Titel
A Taxonomy of Event Prediction Methods
verfasst von
Fatma Ezzahra Gmati
Salem Chakhar
Wided Lejouad Chaari
Mark Xu
Copyright-Jahr
2019
Buch
Advances and Trends in Artificial Intelligence. From Theory to Practice

Print ISBN: 978-3-030-22998-6

Electronic ISBN: 978-3-030-22999-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-22999-3_2

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