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Volumn 2454 LNCS, Issue , 2002, Pages 21-30

Mining association rules from XML data

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; DATA MINING; DATA WAREHOUSES; HYPERTEXT SYSTEMS; WAREHOUSES; COMPUTATIONAL LINGUISTICS; XML;

EID: 84864864775     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46145-0_3     Document Type: Conference Paper
Times cited : (35)

References (21)
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    • Washington, D.C., USA, May
    • Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In P. Buneman and S. Jajodia, editors, SIGMOD93, pages 207 - 216, Washington, D.C., USA, May 1993.
    • (1993) SIGMOD93 , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 5
    • 0029212693 scopus 로고
    • Mining sequential patterns
    • Philip S. Yu and Arbee L. P. Chen, editors, IEEE Press, 6-10
    • Rakesh Agrawal and Ramakrishnan Srikant. Mining sequential patterns. In Philip S. Yu and Arbee L. P. Chen, editors, Proc. 11th Int. Conf. Data Engineering, ICDE, pages 3-14. IEEE Press, 6-10 1995.
    • (1995) Proc. 11th Int. Conf. Data Engineering, ICDE , pp. 3-14
    • Agrawal, R.1    Srikant, R.2
  • 10
    • 0030643619 scopus 로고    scopus 로고
    • Clustering association rules
    • Brian Lent, Arun N. Swami, and Jennifer Widom. Clustering association rules. In ICDE, pages 220-231, 1997.
    • (1997) ICDE , pp. 220-231
    • Lent, B.1    Swami, A.N.2    Widom, J.3
  • 12
    • 0001280495 scopus 로고
    • Efficient algorithms for discovering association rules
    • Usama M. Fayyad and Ramasamy Uthurusamy, editors, Seattle, Washington, AAAI Press
    • Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. Efficient algorithms for discovering association rules. In Usama M. Fayyad and Ramasamy Uthurusamy, editors, AAAI Workshop on Knowledge Discovery in Databases (KDD-94), pages 181-192, Seattle, Washington, 1994. AAAI Press.
    • (1994) AAAI Workshop on Knowledge Discovery in Databases (KDD-94) , pp. 181-192
    • Mannila, H.1    Toivonen, H.2    Inkeri Verkamo, A.3
  • 14
    • 0031651127 scopus 로고    scopus 로고
    • A tightly-coupled architecture for data mining
    • Orlando, Florida, USA, February
    • Rosa Meo, Giuseppe Psaila, and Stefano Ceri. A tightly-coupled architecture for data mining. In ICDE, pages 316-323, Orlando, Florida, USA, February 1998.
    • (1998) ICDE , pp. 316-323
    • Meo, R.1    Psaila, G.2    Ceri, S.3
  • 16
    • 0031387041 scopus 로고    scopus 로고
    • Generating association rules from semi-structured documents using an extended concept hierarchy
    • Lisa Singh, Peter Scheuermann, and Bin Chen. Generating association rules from semi-structured documents using an extended concept hierarchy. In CIKM, pages 193-200, 1997.
    • (1997) CIKM , pp. 193-200
    • Singh, L.1    Scheuermann, P.2    Chen, B.3
  • 17
    • 0002880407 scopus 로고
    • Mining generalized association rules
    • Ramakrishnan Srikant and Rakesh Agrawal. Mining generalized association rules. In The VLDB Journal, pages 407-419, 1995.
    • (1995) The VLDB Journal , pp. 407-419
    • Srikant, R.1    Agrawal, R.2
  • 18
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • H. V. Jagadish and Inderpal Singh Mumick, editors, Montreal, Quebec, Canada, 4-6
    • Ramakrishnan Srikant and Rakesh Agrawal. Mining quantitative association rules in large relational tables. In H. V. Jagadish and Inderpal Singh Mumick, editors, Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, pages 1-12, Montreal, Quebec, Canada, 4-6 1996.
    • (1996) Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data , pp. 1-12
    • Srikant, R.1    Agrawal, R.2
  • 20
    • 0003587590 scopus 로고    scopus 로고
    • W3C Recommendation
    • World Wide Web Consortium. XML Path Language (XPath) Version 1.0, W3C Recommendation. http://www.w3c.org/tr/xpath/, November 1999.
    • (1999) XML Path Language (XPath) Version 1.0


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.