Title
Discovering frequent patterns for in-flight incidents.
Abstract
•Process management thinking to the safety issues facing the air transport industry.•Modeling of critical pathways and structured analysis for collaborative activities.•Refined three-step process for data pre-processing, model and inference objectives.•Data mining methods (Association Rule Mining) to discover interesting knowledge.•Ontology formalization for categorization of in-flight passenger medical incidents.
Year
DOI
Venue
2018
10.1016/j.cogsys.2018.01.002
Cognitive Systems Research
Keywords
Field
DocType
Data mining,Association rule,Ontology reasoning,Decision system,Air transport
Data science,Ontology,Data collection,Data processing,Knowledge representation and reasoning,Psychology,Raw data,Artificial intelligence,Knowledge extraction,Clinical decision support system,Structuring,Machine learning
Journal
Volume
Issue
ISSN
49
C
1389-0417
Citations 
PageRank 
References 
4
0.39
12
Authors
3
Name
Order
Citations
PageRank
Alsane Sene140.73
Bernard Kamsu-Foguem231820.94
Pierre Rumeau3121.33