메뉴 건너뛰기




Volumn 1910, Issue , 2000, Pages 498-503

Schema mining: Finding structural regularity among semistructured data

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; XML;

EID: 84974731017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_57     Document Type: Conference Paper
Times cited : (5)

References (20)
  • 2
    • 0027621699 scopus 로고
    • Mining Association Rules between Sets of Items in Large Databases
    • May
    • R. Agrawal, T. Imielinski, and A. Swami. Mining Association Rules between Sets of Items in Large Databases. In SIGMOD’93, May 1993.
    • (1993) SIGMOD’93
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 3
    • 35048881580 scopus 로고    scopus 로고
    • The Lorel Query Language for Semi-Structured Data
    • April
    • S. Abiteboul, and al. The Lorel Query Language for Semi-Structured Data. International Journal on Digital Libraries, 1(1): 68-88, April 1997.
    • (1997) International Journal on Digital Libraries , vol.1 , Issue.1 , pp. 68-88
    • Abiteboul, S.1
  • 4
    • 0001882616 scopus 로고
    • Fast Algorithms for Mining Generalized Association Rules
    • September
    • R. Agrawal and R. Srikant. Fast Algorithms for Mining Generalized Association Rules. In VLDB’94, September 1994.
    • (1994) VLDB’94
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 0029212693 scopus 로고
    • Mining Sequential Patterns
    • March
    • R. Agrawal and R. Srikant. Mining Sequential Patterns. In ICDE’95, March 1995.
    • (1995) ICDE’95
    • Agrawal, R.1    Srikant, R.2
  • 7
    • 0031162961 scopus 로고    scopus 로고
    • Dynamic Itemset Counting and Implication Rules for Market Basket Data
    • May
    • S. Brin, R. Motwani, J.D. Ullman, and S. Tsur. Dynamic Itemset Counting and Implication Rules for Market Basket Data. In SIGMOD’97, May 1997.
    • (1997) SIGMOD’97
    • Brin, S.1    Motwani, R.2    Ullman, J.D.3    Tsur, S.4
  • 8
    • 84880088183 scopus 로고    scopus 로고
    • Fining Frequent Substructures in Chemical Coumpounds
    • August
    • L. Dehaspe, H. Toivonen and R.D. King. Fining Frequent Substructures in Chemical Coumpounds. In KDD’98, August 1998.
    • (1998) KDD’98
    • Dehaspe, L.1    Toivonen, H.2    King, R.D.3
  • 10
    • 0001851329 scopus 로고
    • W3QS: A Query System for the World-Wide Web
    • September
    • D. Konopnicki and O. Shmueli. W3QS: A Query System for the World-Wide Web. In VLDB’95, September 1995.
    • (1995) VLDB’95
    • Konopnicki, D.1    Shmueli, O.2
  • 13
    • 33947575877 scopus 로고    scopus 로고
    • The PSP Approach for Mining Sequential Patterns
    • September
    • F. Masseglia, F. Cathala, and P. Poncelet. The PSP Approach for Mining Sequential Patterns. In PKDD’98, September 1998.
    • (1998) PKDD’98
    • Masseglia, F.1    Cathala, F.2    Poncelet, P.3
  • 15
    • 0002623130 scopus 로고    scopus 로고
    • Mining Sequential Patterns: Generalizations and Performance Improvements
    • September
    • R. Srikant and R. Agrawal. Mining Sequential Patterns: Generalizations and Performance Improvements. In EDBT’96, September 1996.
    • (1996) EDBT’96
    • Srikant, R.1    Agrawal, R.2
  • 16
    • 0002082858 scopus 로고
    • An Efficient Algorithm for Mining Association Rules in Large Databases
    • Zurich, Switzerland, September
    • A. Savasere, E. Omiecinski, and S. Navathe. An Efficient Algorithm for Mining Association Rules in Large Databases. In VLDB’95, pages 432-444, Zurich, Switzerland, September 1995.
    • (1995) VLDB’95 , pp. 432-444
    • Savasere, A.1    Omiecinski, E.2    Navathe, S.3
  • 17
    • 0002663971 scopus 로고    scopus 로고
    • Sampling Large Databases for Association Rules
    • September
    • H. Toivonen. Sampling Large Databases for Association Rules. In VLDB’96, September 1996.
    • (1996) VLDB’96
    • Toivonen, H.1
  • 18
    • 85165124817 scopus 로고    scopus 로고
    • Discovering Typical Structures of Documents: A Road Map Approach
    • August
    • K. Wang and H.Q. Liu. Discovering Typical Structures of Documents: A Road Map Approach. In ACM SIGIR, August 1998.
    • (1998) ACM SIGIR
    • Wang, K.1    Liu, H.Q.2
  • 19
    • 84974704661 scopus 로고    scopus 로고
    • Discovering Structural Association of Semistructured Data
    • K.Wang and H. Liu. Discovering Structural Association of Semistructured Data. IEEE TKDE, 1999.
    • (1999) IEEE TKDE
    • Wang, K.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.