Konferenzbeitrag
Data mining and fault tolerance in warehousing
This paper surveys the significance of data mining techniques and fault tolerance in future materials flow systems with a focus on planning and decision-making. The fundamental connection between data mining, fault tolerance, and materials flow is illustrated. Contemporary developments in warehousing are assessed to formulate upcoming challenges. In particular, the transition towards distributed systems and the increasing data volume is examined. The significance of taking fault tolerance into account is emphasized. Ultimately, research issues are derived by conflating the previous findings. They comprise a holistic approach towards the integration of data science and fault tolerance techniques into future materials flow systems. Tackling these research issues will help to proactively harmonize the data representation to specific data mining techniques and increase the reliability of such systems.
- Sprache
-
Englisch
- Erschienen in
-
10419/209192
- Klassifikation
-
Management
- Thema
-
materials flow system
data mining
fault tolerance
survey
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Reining, Christopher
Bousbiba, Omar
Jungen, Svenja
Ten Hompel, Michael
- Ereignis
-
Veröffentlichung
- (wer)
-
epubli GmbH
- (wo)
-
Berlin
- (wann)
-
2017
- DOI
-
doi:10.15480/882.1464
- Handle
- URN
-
urn:nbn:de:gbv:830-88217628
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Reining, Christopher
- Bousbiba, Omar
- Jungen, Svenja
- Ten Hompel, Michael
- epubli GmbH
Entstanden
- 2017
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