메뉴 건너뛰기




Volumn , Issue , 2014, Pages 625-630

Predicting crowd behavior with big public data

Author keywords

Crowd behavior; Event extraction; Forecasting; Online activism; Sentiment analysis; Temporal analytics; Twitter analysis; Web and social media mining

Indexed keywords

DATA MINING; FORECASTING; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

EID: 84962551296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2579233     Document Type: Conference Paper
Times cited : (73)

References (17)
  • 2
    • 78649842272 scopus 로고    scopus 로고
    • Predicting the future with social media
    • S. Asur and B. A. Huberman. Predicting the future with social media. In WI-IAT, 2010.
    • (2010) WI-IAT
    • Asur, S.1    Huberman, B.A.2
  • 3
    • 84862835806 scopus 로고    scopus 로고
    • Predicting the present with google trends
    • H. Choi and H. Varian. Predicting the present with google trends. Economic Record, 88(s1):2-9, 2012.
    • (2012) Economic Record , vol.88 , Issue.S1 , pp. 2-9
    • Choi, H.1    Varian, H.2
  • 4
    • 80053086360 scopus 로고    scopus 로고
    • In search of attention
    • Z. Da, J. Engelberg, and P. Gao. In search of attention. J. Finance, 66(5):1461-1499, 2011.
    • (2011) J. Finance , vol.66 , Issue.5 , pp. 1461-1499
    • Da, Z.1    Engelberg, J.2    Gao, P.3
  • 5
    • 78049334454 scopus 로고    scopus 로고
    • Predicting consumer behavior with web search
    • S. Goel, J. M. Hofman, S. Lahaie, D. M. Pennock, and D. J. Watts. Predicting consumer behavior with web search. PNAS, 107(41):17486-17490, 2010.
    • (2010) PNAS , vol.107 , Issue.41 , pp. 17486-17490
    • Goel, S.1    Hofman, J.M.2    Lahaie, S.3    Pennock, D.M.4    Watts, D.J.5
  • 7
    • 1842580895 scopus 로고    scopus 로고
    • How to build a WebFountain: An architecture for very large-scale text analytics
    • D. Gruhl, L. Chavet, D. Gibson, J. Meyer, P. Pattanayak, A. Tomkins, and J. Zien. How to build a WebFountain: An architecture for very large-scale text analytics. IBM Syst. J., 43(1):64-77, 2004.
    • (2004) IBM Syst. J , vol.43 , Issue.1 , pp. 64-77
    • Gruhl, D.1    Chavet, L.2    Gibson, D.3    Meyer, J.4    Pattanayak, P.5    Tomkins, A.6    Zien, J.7
  • 10
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomForest
    • W. Liaw. Classification and regression by randomForest. R News, 2(3):18-22, 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, W.1
  • 14
    • 84874282299 scopus 로고    scopus 로고
    • Mining the web to predict future events
    • K. Radinsky and E. Horvitz. Mining the web to predict future events. In WSDM, 2013.
    • (2013) WSDM
    • Radinsky, K.1    Horvitz, E.2
  • 15
    • 84907909499 scopus 로고    scopus 로고
    • Telegraph.co.uk. Accessed:, -08-25
    • Telegraph.co.uk. Twitter in numbers. Accessed: 2013-08-25.
    • (2013) Twitter in Numbers
  • 17
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • J. Ward. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc., 58(301):236-244, 1963.
    • (1963) J. Am. Stat. Assoc , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.