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-Reference-Cited by-同舟云学术

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

Published:2018-07-27 Issue:14 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Suresh Kumar N.¹^ORCID,Thangamani M.²

Affiliation:

1. Department of Information TechnologySri Ramakrishna Engineering College Coimbatore India

2. Department of Computer Science and EngineeringKongu Engineering College Erode India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4837

Reference33 articles.

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4. JiR XieX YaoH MaW‐Y.Mining city landmarks from blogs by graph modeling. In: Proceedings of the 17th ACM International Conference on Multimedia;2009;Beijing China.

5. RahmanASMM HossainMA ParraJ El SaddikA.Motion‐path based gesture interaction with smart home services. In: Proceedings of the 17th ACM International Conference on Multimedia;2009;Beijing China.

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