메뉴 건너뛰기




Volumn 4, Issue 12, 2011, Pages 1284-1294

Auto-grouping emails for faster e-discovery

Author keywords

[No Author keywords available]

Indexed keywords

E-MAIL DOCUMENTS; ELECTRONIC DISCOVERIES; EMAIL CONTENT; ENRON CORPUS; GROUPING TECHNIQUE; HIGH PRECISION; INFORMATION EXTRACTION; NEAR-DUPLICATE DETECTION; PRODUCT OFFERINGS; SEMANTIC GROUPING; HIGH-PRECISION;

EID: 84863735998     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (16)

References (25)
  • 1
    • 79951773735 scopus 로고    scopus 로고
    • Toward a federal benchmarking standard for evaluating information retrieval products used in e-discovery
    • J. R. Baron. Toward a federal benchmarking standard for evaluating information retrieval products used in e-discovery. 6th Sedona Conference Journal, pages 237-246, 2005.
    • (2005) 6th Sedona Conference Journal , pp. 237-246
    • Baron, J.R.1
  • 2
    • 0442289065 scopus 로고    scopus 로고
    • Survey of clustering data mining techniques
    • Pavel Berkhin. Survey of clustering data mining techniques. 2002.
    • (2002)
    • Berkhin, P.1
  • 11
    • 33645492588 scopus 로고
    • Federal Information Processing Standards
    • FIPS. Secure hash standard. Technical Report FIPS PUB 180-1Publication
    • FIPS. Secure hash standard. Technical Report FIPS PUB 180-1, Federal Information Processing Standards Publication, 1995.
    • (1995)
  • 13
    • 33750296887 scopus 로고    scopus 로고
    • Finding near-duplicate web pages: A large-scale evaluation of algorithms
    • August
    • Monika Henzinger. Finding near-duplicate web pages: A large-scale evaluation of algorithms. Proceedings of SIGIR, pages 284-291, August 2006.
    • (2006) Proceedings of SIGIR , pp. 284-291
    • Henzinger, M.1
  • 17
    • 0004141898 scopus 로고    scopus 로고
    • Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
    • Andrew Kachites McCallum. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. http://www.cs.cmu.edu/mccallum/bow, 1996.
    • (1996)
    • McCallum, A.K.1
  • 20
    • 84863763759 scopus 로고    scopus 로고
    • RFC 2822 Internet Message Format.
    • RFC 2822 Internet Message Format., 2001. http://www.faqs.org/rfcs/rfc2822.html.
    • (2001)
  • 21
    • 84863763760 scopus 로고    scopus 로고
    • The 2006 Scoha-Gelbmann electronic discovery survey report
    • George Scoha and Tom Gelbmann. The 2006 Scoha-Gelbmann electronic discovery survey report. Socha Consulting, 2007.
    • (2007) Socha Consulting
    • Scoha, G.1    Gelbmann, T.2
  • 22
    • 57349131623 scopus 로고    scopus 로고
    • Spotsigs: robust and efficient near duplicate detection in large web collections
    • Martin Theobald, Jonathan Siddharth, and Andreas Paepcke. Spotsigs: robust and efficient near duplicate detection in large web collections. Proceedings of SIGIR, pages 563-570, 2008.
    • (2008) Proceedings of SIGIR , pp. 563-570
    • Theobald, M.1    Siddharth, J.2    Paepcke, A.3
  • 23
    • 36448988354 scopus 로고    scopus 로고
    • Indexing emails and email threads for retrieval
    • Y. Wu and D. Oard. Indexing emails and email threads for retrieval. Proceedings of SIGIR, pages 665 - 666, 2005.
    • (2005) Proceedings of SIGIR , pp. 665-666
    • Wu, Y.1    Oard, D.2
  • 24
    • 84904789014 scopus 로고    scopus 로고
    • Email thread reassembly using similarity matching
    • Jen Yuan Yeh and Aaron Harnly. Email thread reassembly using similarity matching. Proceedings of CEAS, 2006.
    • (2006) Proceedings of CEAS
    • Yeh, J.Y.1    Harnly, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.