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Volumn , Issue , 2014, Pages

Investigating the relationship between social media content and real-time observations for urban air quality and public health

Author keywords

air quality; clustering; computational intelligence; participatory sensing; self organizing maps; social media; text mining; twitter

Indexed keywords

AIR QUALITY; ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; DATA MINING; PUBLIC HEALTH; SELF ORGANIZING MAPS; SEMANTICS; SENSORS; SOCIAL NETWORKING (ONLINE); VIRTUAL REALITY;

EID: 84903639502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2611040.2611093     Document Type: Conference Paper
Times cited : (4)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.