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Volumn , Issue , 2009, Pages 1-14

Rare association rule mining: An overview

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EID: 84899315400     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-754-6.ch001     Document Type: Chapter
Times cited : (6)

References (21)
  • 5
    • 23044517681 scopus 로고    scopus 로고
    • Constraint-based rule mining in large, dense databases
    • doi:10.1023/A:1009895914772
    • Bayardo, R. J., Agrawal, R.,& Gunopulos, D. (2000). Constraint-based rule mining in large, dense databases. Data Mining and Knowledge Discovery, 4(2/3), 217-240. doi:10.1023/A:1009895914772
    • (2000) Data Mining and Knowledge Discovery , vol.4 , Issue.2-3 , pp. 217-240
    • Bayardo, R.J.1    Agrawal, R.2    Gunopulos, D.3
  • 7
    • 33748467598 scopus 로고    scopus 로고
    • A model-based frequency constraint for mining associations from transaction data
    • doi:10.1007/s10618-005-0026-2 September
    • Hahsler, M. (2006, September). A model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2), 137-166. doi:10.1007/s10618-005-0026-2
    • (2006) Data Mining and Knowledge Discovery , vol.13 , Issue.2 , pp. 137-166
    • Hahsler, M.1
  • 9
    • 38649117290 scopus 로고    scopus 로고
    • Mining interesting imperfectly sporadic rules
    • doi:10.1007/s10115-007-0074-6 January
    • Koh, Y. S., Rountree, N., & O'Keefe, R. A. (2008, January). Mining interesting imperfectly sporadic rules. Knowledge and Information Systems, 14(2), 179-196. doi:10.1007/s10115-007-0074-6
    • (2008) Knowledge and Information Systems , vol.14 , Issue.2 , pp. 179-196
    • Koh, Y.S.1    Rountree, N.2    O'Keefe, R.A.3
  • 14
    • 47349084243 scopus 로고    scopus 로고
    • LPMINER: An algorithm for finding frequent itemsets using length-decreasing support constraint
    • In N. Cercone, T. Y. Lin, & X. Wu (Eds), Washington, DC: IEEE Computer Society
    • Seno, M.,& Karypis, G. (2001). LPMINER: An algorithm for finding frequent itemsets using length-decreasing support constraint. In N. Cercone, T. Y. Lin, & X. Wu (Eds), In Proceedings of the 2001 IEEE International Conference on Data Mining ICDM (pp. 505-512). Washington, DC: IEEE Computer Society.
    • (2001) In Proceedings of the 2001 IEEE International Conference on Data Mining ICDM , pp. 505-512
    • Seno, M.1    Karypis, G.2
  • 18
    • 0037619022 scopus 로고    scopus 로고
    • Pushing support constraints into association rules mining
    • doi:10.1109/TKDE.2003.1198396
    • Wang, K., He, Y., & Han, J. (2003). Pushing support constraints into association rules mining. IEEE Transactions on Knowledge and Data Engineering, 15(3), 642-658. doi:10.1109/TKDE.2003.1198396
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.3 , pp. 642-658
    • Wang, K.1    He, Y.2    Han, J.3
  • 19
    • 20844458491 scopus 로고    scopus 로고
    • Mining with rarity: A unifying framework
    • doi:10.1145/1007730.1007734
    • Weiss, G. M. (2004). Mining with rarity: a unifying framework. SIGKDD Exploration Newsletter, 6(1), 7-19. doi:10.1145/1007730.1007734
    • (2004) SIGKDD Exploration Newsletter , vol.6 , Issue.1 , pp. 7-19
    • Weiss, G.M.1
  • 20
    • 12244259488 scopus 로고    scopus 로고
    • Mining strong affinity association patterns in data sets with skewed support distribution
    • Washington, DC: IEEE Computer Society
    • Xiong, H., Tan, P.-N.,& Kumar, V. (2003). Mining strong affinity association patterns in data sets with skewed support distribution. In Proceedings of the Third IEEE International Conference on Data Mining (pp. 387-394). Washington, DC: IEEE Computer Society.
    • (2003) In Proceedings of the Third IEEE International Conference on Data Mining , pp. 387-394
    • Xiong, H.1    Tan, P.-N.2    Kumar, V.3
  • 21
    • 0038148379 scopus 로고    scopus 로고
    • Mining association rules on significant rare data using relative support
    • doi:10.1016/S0164-1212(02)00128-0
    • Yun, H., Ha, D., Hwang, B., & Ryu, K. H. (2003). Mining association rules on significant rare data using relative support. Journal of Systems and Software, 67(3), 181-191. doi:10.1016/S0164-1212(02)00128-0
    • (2003) Journal of Systems and Software , vol.67 , Issue.3 , pp. 181-191
    • Yun, H.1    Ha, D.2    Hwang, B.3    Ryu, K.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.