Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions

Journal of Network and Computer Applications

Volumn 79, Issue , 2017, Pages 1-24

  Rehman, Muhammad Habib ur ^a   Liew, Chee Sun ^a   Wah, Teh Ying ^a   Khan, Muhammad Khurram ^b  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

Classification; Cloud computing; Clustering; Edge computing; Frequent pattern mining; Mobile computing

Indexed keywords

BIG DATA; BODY SENSOR NETWORKS; CLASSIFICATION (OF INFORMATION); CLOUD COMPUTING; COMPUTER SUPPORTED COOPERATIVE WORK; DATA ACQUISITION; DATA COMMUNICATION SYSTEMS; DATA FUSION; DATA MINING; KNOWLEDGE MANAGEMENT; MOBILE COMPUTING;

CLUSTERING; COMPUTING TECHNOLOGY; EDGE COMPUTING; FREQUENT PATTERN MINING; FUTURE RESEARCH DIRECTIONS; HETEROGENEOUS DATA SOURCES; INTERNET OF THING (IOTS); MOBILE ENVIRONMENTS;

MOBILE CLOUD COMPUTING;

EID: 85003890163     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2016.11.031     Document Type: Review

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