An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities applications

Future Generation Computer Systems

Volumn 78, Issue , 2018, Pages 516-530

  Kousiouris, George ^a   Akbar, Adnan ^b   Sancho, Juan ^c   Ta shma, Paula ^d   Psychas, Alexandros ^a   Kyriazis, Dimosthenis ^a   Varvarigou, Theodora ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF SURREY   (United Kingdom)

^c Internet of Everything Lab   (Spain)

^d UNIVERSITY OF HAIFA   (Israel)

Author keywords

Analytics; Cloud computing; Event identification; Internet of things; Smart cities; Social networks

Indexed keywords

CLOUD COMPUTING; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; INTERNET OF THINGS; SMART CITY; SOCIAL NETWORKING (ONLINE); SOCIAL SCIENCES COMPUTING;

ANALYTICS; APPLICATION LEVEL; COMPLEX EVENT PROCESSING; EVENT IDENTIFICATION; HISTORICAL DATA; INTEGRATED INFORMATIONS; SERVICE LEVELS; SPORTS VENUES;

INFORMATION MANAGEMENT;

EID: 85028348035     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2017.07.026     Document Type: Article

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