Parallel Semi‐supervised enhanced fuzzy Co‐Clustering (PSEFC) and Rapid Association Rule Mining (RARM) based frequent route mining algorithm for travel sequence recommendation on big social media

Summary In this proposed method, with the aim of resolving the frequent route mining issue, by means of utilizing the Rapid Association Rule Mining (RARM) for frequent route mining, recurrently utilized routes as well as smaller distance routes are mined. As a result, support speedy decision of the...

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Veröffentlicht in:	Concurrency and computation 2019-07, Vol.31 (14), p.n/a
Hauptverfasser:	Suresh Kumar, N., Thangamani, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ant colony optimization Clustering Data mining Digital media Multi‐Ontology based Points of Interest (MO‐POIs) Parallel Semi‐supervised enhanced fuzzy Co‐Clustering (PSEFC) Rapid Association Rule Mining (RARM) Recommender systems Route optimization semantic information travel recommendation
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