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DESCRIPTION:Click for Latest Location Information: http://nosql2014.dataversity.net/sessionPop.cfm?confid=81&proposalid=6947\nFor any airline carrier, efficiency is key: delayed or cancelled flights and long taxi times often lead to unhappy customers. Flight planning is one the most complex optimization and scheduling problems out there, requiring a deep analysis of flight and airport data. Modeling this connected data in Neo4j provides new graph-based insights on how to minimize delays, cancellations and diversions and maximize efficiency and customer happiness.
DTSTART:20140819T170000
SUMMARY:Graphing Delays, Cancellations, & Diversions: Modeling US Flight Data in Neo4j
DTEND:20140819T175959
LOCATION: See Description
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