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Volumn , Issue , 2009, Pages 1163-1168

Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets

Author keywords

Fuzzy association rule mining; Fuzzy partitioning; Fuzzy pre processing; Partitions; Tidlists; Very large datasets

Indexed keywords

APRIORI; DATA SETS; FUZZY ASSOCIATION RULE; FUZZY ATTRIBUTES; FUZZY DATASET; FUZZY PARTITIONING; ITEMSET; LARGE DATASETS; METHOD OF PROCESSING; NUMERICAL ATTRIBUTES; PRE-PROCESSING; PREPROCESSING TECHNIQUES; SECOND PHASE; VECTOR REPRESENTATIONS;

EID: 71249094293     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277060     Document Type: Conference Paper
Times cited : (66)

References (23)
  • 1
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh, L. A.: Fuzzy sets. Inf. Control, 8, 338-358 (1965).
    • (1965) Inf. Control , vol.8 , pp. 338-358
    • Zadeh, L.A.1
  • 2
    • 9644306576 scopus 로고    scopus 로고
    • Computationally Efficient Mining for Fuzzy Implication-Based Association Rules in Quantitative Databases
    • Chen G., Yan P., Kerre E.E.: Computationally Efficient Mining for Fuzzy Implication-Based Association Rules in Quantitative Databases. International Journal of General Systems, 33, 163-182 (2004).
    • (2004) International Journal of General Systems , vol.33 , pp. 163-182
    • Chen, G.1    Yan, P.2    Kerre, E.E.3
  • 3
    • 26944491093 scopus 로고    scopus 로고
    • Fuzzy methods in machine learning and data mining: Status and prospects
    • Hüllermeier, E.: Fuzzy methods in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems. 156, 387-406 (2005).
    • (2005) Fuzzy Sets and Systems , vol.156 , pp. 387-406
    • Hüllermeier, E.1
  • 4
    • 71249139114 scopus 로고    scopus 로고
    • De Cock, M., Cornelis, C., Kerre, E.E.: Fuzzy Association Rules: A Two-Sided Approach. In: FIP, pp 385-390 (2003).
    • De Cock, M., Cornelis, C., Kerre, E.E.: Fuzzy Association Rules: A Two-Sided Approach. In: FIP, pp 385-390 (2003).
  • 5
    • 33646831023 scopus 로고    scopus 로고
    • Yan, P., Chen, G., Cornelis, C., De Cock, M., Kerre, E.E.: Mining Positive and Negative Fuzzy Association Rules. In: KES, pp. 270-276. Springer (2004).
    • Yan, P., Chen, G., Cornelis, C., De Cock, M., Kerre, E.E.: Mining Positive and Negative Fuzzy Association Rules. In: KES, pp. 270-276. Springer (2004).
  • 6
    • 9644252808 scopus 로고    scopus 로고
    • Elicitation of fuzzy association rules from positive and negative examples
    • De Cock, M., Cornelis, C., Kerre, E.E.: Elicitation of fuzzy association rules from positive and negative examples. Fuzzy Sets and Systems, 149, 73-85 (2005).
    • (2005) Fuzzy Sets and Systems , vol.149 , pp. 73-85
    • De Cock, M.1    Cornelis, C.2    Kerre, E.E.3
  • 8
    • 33748458842 scopus 로고    scopus 로고
    • A systematic approach to the assessment of fuzzy association rules
    • Dubois, D., Hüllermeier, E., Prade, H.: A systematic approach to the assessment of fuzzy association rules. Data Min. Knowl. Discov., 13, 167-192 (2006).
    • (2006) Data Min. Knowl. Discov , vol.13 , pp. 167-192
    • Dubois, D.1    Hüllermeier, E.2    Prade, H.3
  • 9
    • 7044250743 scopus 로고    scopus 로고
    • Dubois, D., Hüllermeier, E., Prade, H.: A Note on Quality Measures for Fuzzy Association Rules. In: IFSA, pp. 346-353. Springer-Verlag (2003).
    • Dubois, D., Hüllermeier, E., Prade, H.: A Note on Quality Measures for Fuzzy Association Rules. In: IFSA, pp. 346-353. Springer-Verlag (2003).
  • 11
    • 0027621699 scopus 로고
    • Mining Association Rules between Sets of Items in Large Databases
    • Agrawal, R., Imielinski, T., Swami, A.N.: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Record, 22, 207-216 (1993).
    • (1993) SIGMOD Record , vol.22 , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 12
    • 71249155012 scopus 로고    scopus 로고
    • Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: VLDB, pp. 487-99. Morgan Kaufmann (1994).
    • Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: VLDB, pp. 487-99. Morgan Kaufmann (1994).
  • 13
    • 0039253846 scopus 로고    scopus 로고
    • Mining Frequent Patterns without Candidate Generation
    • ACM Press
    • Han, J., Pei, J., Yin, Y.: Mining Frequent Patterns without Candidate Generation. In: SIGMOD Conference, pp 1-12. ACM Press (2000).
    • (2000) SIGMOD Conference , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 14
    • 71249109530 scopus 로고    scopus 로고
    • ARMOR: Association Rule Mining based on Oracle
    • Pudi, V., Haritsa, J.: ARMOR: Association Rule Mining based on Oracle. CEUR Workshop Proceedings, 90 (2003).
    • (2003) CEUR Workshop Proceedings , vol.90
    • Pudi, V.1    Haritsa, J.2
  • 15
    • 4244145517 scopus 로고    scopus 로고
    • On the optimality of association-rule mining algorithms
    • Technical Report TR-2001-01, DSL, Indian Institute of Science
    • Pudi, V., Haritsa, J.: On the optimality of association-rule mining algorithms. Technical Report TR-2001-01, DSL, Indian Institute of Science (2001).
    • (2001)
    • Pudi, V.1    Haritsa, J.2
  • 16
    • 0015644825 scopus 로고
    • A Fuzzy Relative of the ISODATA Process and its Use in Detecting Compact, Well Separated Clusters
    • Dunn, J. C.: A Fuzzy Relative of the ISODATA Process and its Use in Detecting Compact, Well Separated Clusters. J. Cyber., 3, 32-57 (1974).
    • (1974) J. Cyber , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 20
    • 71249125892 scopus 로고    scopus 로고
    • Mangalampalli, A., Pudi, V.: Fuzzy Logic-based Preprocessing for Fuzzy Association Rule Mining. Technical Report IIIT/TR/2008/127, International Institute of Information Technology (2008).
    • Mangalampalli, A., Pudi, V.: Fuzzy Logic-based Preprocessing for Fuzzy Association Rule Mining. Technical Report IIIT/TR/2008/127, International Institute of Information Technology (2008).
  • 21
    • 71249128168 scopus 로고    scopus 로고
    • Savasere, A., Omiecinski, E., Navathe, S.B.: An Efficient Algorithm for Mining Association Rules in Large Databases. In: VLDB, pp. 432-444. Morgan Kaufmann (1995).
    • Savasere, A., Omiecinski, E., Navathe, S.B.: An Efficient Algorithm for Mining Association Rules in Large Databases. In: VLDB, pp. 432-444. Morgan Kaufmann (1995).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.