Event modeling and mining: a long journey toward explainable events

Xinhong Chen, Qing Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)459-482
Number of pages24
JournalVLDB Journal
Volume29
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Event management
  • Event mining
  • Event modeling
  • Event relation analysis
  • Event representation

ASJC Scopus subject areas

  • Information Systems
  • Hardware and Architecture

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