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Volumn 3, Issue 2, 2013, Pages 143-150

Application of data mining methods for link prediction in social networks

Author keywords

Data mining; Link prediction; Regression; Social network

Indexed keywords

DATA MINING; FORECASTING; SEARCH ENGINES; WEBSITES;

EID: 84938107409     PISSN: 18695450     EISSN: 18695469     Source Type: Journal    
DOI: 10.1007/s13278-013-0097-9     Document Type: Article
Times cited : (13)

References (15)
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  • 3
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    • Bridging the gap between physical location and online social networks. In: Proceedings of UBICOMP’10, New York
    • Cranshaw J, Toch E, Hong J, Kittur A, Sadeh N (2010) Bridging the gap between physical location and online social networks. In: Proceedings of UBICOMP’10, New York, pp 119–128
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    • Cranshaw, J.1    Toch, E.2    Hong, J.3    Kittur, A.4    Sadeh, N.5
  • 7
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    • Kaggle.com. IJCNN social network challenge (2011)
    • Kaggle.com. IJCNN social network challenge (2011) http://www.kaggle.com/socialNetwork
  • 12
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    • A multinomial logistic regression modeling approach for anomaly intrusion detection
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    • (2005) Comput Secur , vol.24 , Issue.8 , pp. 647-662
    • Wang, Y.1
  • 13
    • 0004204162 scopus 로고    scopus 로고
    • Data Mining
    • Morgan Kauf-mann Publishers, San Francisco
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  • 14
    • 33846894344 scopus 로고    scopus 로고
    • Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
    • Zou KH, James A, Malley O, Mauri L (2007) Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circ J Am Heart Assoc 115(15):654–657
    • (2007) Circ J Am Heart Assoc , vol.115 , Issue.15 , pp. 654-657
    • Zou, K.H.1    James, A.2    Malley, O.3    Mauri, L.4
  • 15
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    • A. G. Modified Logistic Regression: an approximation to svm and it is applications in large-scale text categorization
    • Zhang J, Jin R, Yang Y, Hauptmann (2003) A. G. Modified Logistic Regression: an approximation to svm and it is applications in large-scale text categorization. In: Proceedings of the 20th International Conference on Machine Learning, Washington, vol 21–24, pp 888–895
    • (2003) Proceedings of the 20th International Conference on Machine Learning, Washington , vol.21-24 , pp. 888-895
    • Zhang, J.1    Jin, R.2    Yang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.