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Volumn , Issue , 2012, Pages 507-522

Pubcrawl: Protecting users and businesses from crawlers

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE); SOCIAL SCIENCES COMPUTING; TECHNOLOGY TRANSFER;

EID: 84929888955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (25)
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    • 85076203125 scopus 로고    scopus 로고
    • Texas. Cause 067-194022-02: American Airlines, Inc. vs. FareChase, Inc
    • 67th District Court, Tarrant County, Texas. Cause NO. 067-194022-02: American Airlines, Inc. vs. FareChase, Inc. http://www.fornova.net/documents/AAFareChase.pdf, 2003.
    • (2003) 67th District Court, Tarrant County
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark and T. Niblett. The CN2 Induction Algorithm. Machine Learning, 3(4):261–283, 1989.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 7
    • 84947318637 scopus 로고
    • Locally weighted regression: An approach to regression analysis by local fitting
    • W. S. Cleveland and S. J. Devlin. Locally Weighted Regression: an Approach to Regression Analysis by Local Fitting. J. Am. Stat. Assoc, 83:596–610, 1988.
    • (1988) J. Am. Stat. Assoc , vol.83 , pp. 596-610
    • Cleveland, W.S.1    Devlin, S.J.2
  • 8
    • 17644390582 scopus 로고    scopus 로고
    • An investigation of web crawler behavior: Characterization and metrics
    • M. D. Dikaiakosa, A. Stassopouloub, and L. Papageorgioua. An Investigation of Web Crawler Behavior: Characterization and Metrics. Computer Networks, 28:880–897, 2005.
    • (2005) Computer Networks , vol.28 , pp. 880-897
    • Dikaiakosa, M.D.1    Stassopouloub, A.2    Papageorgioua, L.3
  • 10
    • 78651351378 scopus 로고    scopus 로고
    • Web robot detection techniques: Overview and limitations
    • D. Doran and S. S. Gokhale. Web Robot Detection Techniques: Overview and Limitations. Data Mining and Knowledge Discovery, 22(1-2):183–210, 2011.
    • (2011) Data Mining and Knowledge Discovery , vol.22 , Issue.1-2 , pp. 183-210
    • Doran, D.1    Gokhale, S.S.2
  • 12
    • 0026106462 scopus 로고
    • Characterizing the variability of arrival processes with indexes of dispersion
    • R. Gusella. Characterizing the Variability of Arrival Processes with Indexes of Dispersion. ”IEEE J. Sel. Areas Commun., 9(2):203–211, 1991.
    • (1991) IEEE J. Sel. Areas Commun. , vol.9 , Issue.2 , pp. 203-211
    • Gusella, R.1
  • 16
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data – A survey
    • T. W. Liao. Clustering of Time Series Data – a Survey. Pattern Recognition, 38(11):1857–1874, 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.11 , pp. 1857-1874
    • Liao, T.W.1
  • 17
    • 67249100781 scopus 로고    scopus 로고
    • An automatic scheme to categorize user sessions in modern HTTP traffic
    • X. Lin, L. Quan, and H. Wu. An Automatic Scheme to Categorize User Sessions in Modern HTTP Traffic. In Proc. of GLOBE-COM, pages 1485–1490, 2008.
    • (2008) Proc. Of GLOBE-COM , pp. 1485-1490
    • Lin, X.1    Quan, L.2    Wu, H.3
  • 22
    • 0036109905 scopus 로고    scopus 로고
    • Discovery of Web Robot Sessions based on their Navigational Patterns
    • P.-N. Tan and V. Kumar. Discovery of Web Robot Sessions based on their Navigational Patterns. Data Mining and Knowledge Discovery, 6(1):9–35, 2002.
    • (2002) Data Mining and Knowledge Discovery , vol.6 , Issue.1 , pp. 9-35
    • Tan, P.-N.1    Kumar, V.2
  • 25
    • 85076234242 scopus 로고    scopus 로고
    • P. Warden. How I got sued by Facebook. http://petewarden.typepad.com/searchbrowser/ 2010/04/how- i- got- sued- by- facebook.html, 2010.
    • (2010) How I Got Sued by Facebook
    • Warden, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.