A Novel Approach in Mining Specialized Coherent Rules in a Level-Crossing Hierarchy
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[1] Bala Srinivasan,et al. Logic-Based Pattern Discovery , 2010, IEEE Transactions on Knowledge and Data Engineering.
[2] Tzung-Pei Hong,et al. Finding relevant attributes and membership functions , 1999, Fuzzy Sets Syst..
[3] Vikram Pudi,et al. Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets , 2009, 2009 IEEE International Conference on Fuzzy Systems.
[4] Tzung-Pei Hong,et al. Mining association rules from quantitative data , 1999, Intell. Data Anal..
[5] M. H. Margahny,et al. FAST ALGORITHM FOR MINING ASSOCIATION RULES , 2014 .
[6] Tomasz Imielinski,et al. Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..
[7] Srinivasan Parthasarathy,et al. New Algorithms for Fast Discovery of Association Rules , 1997, KDD.
[8] Jian Pei,et al. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[9] Jian Pei,et al. H-Mine: Fast and space-preserving frequent pattern mining in large databases , 2007 .
[10] Tzung-Pei Hong,et al. Mining a Complete Set of Fuzzy Multiple-Level Rules , 2011 .
[11] Tzung-Pei Hong,et al. Multi-level fuzzy mining with multiple minimum supports , 2008, Expert Syst. Appl..
[12] Tzung-Pei Hong,et al. An Efficient Tree-based Fuzzy Data Mining Approach , 2010 .
[13] Abdolreza Mirzaei,et al. Intrusion detection using fuzzy association rules , 2009, Appl. Soft Comput..
[14] Korris Fu-Lai Chung,et al. An empirical study of a cross-level association rule mining approach to cold-start recommendations , 2008, Knowl. Based Syst..
[15] Seyed Javad Mirabedini,et al. Improvement of Mining Fuzzy Multiple-Level Association Rules from Quantitative Data , 2012 .
[16] Reda Alhajj,et al. Genetic algorithm based framework for mining fuzzy association rules , 2005, Fuzzy Sets Syst..
[17] Tzung-Pei Hong,et al. THE MFFP‐TREE FUZZY MINING ALGORITHM TO DISCOVER COMPLETE LINGUISTIC FREQUENT ITEMSETS , 2014, Comput. Intell..
[18] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[19] Jiawei Han,et al. Discovery of Multiple-Level Association Rules from Large Databases , 1995, VLDB.
[20] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[21] Tzung-Pei Hong,et al. A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets , 2015, Appl. Soft Comput..
[22] Yeong-Chyi Lee,et al. fuzzy coherent rule mining algorithm , 2013 .
[23] Ramakrishnan Srikant,et al. Mining generalized association rules , 1995, Future Gener. Comput. Syst..
[24] S. Moral,et al. Learning rules for a fuzzy inference model , 1993 .
[25] Tzung-Pei Hong,et al. Mining high coherent association rules with consideration of support measure , 2013, Expert Syst. Appl..
[26] Tzung-Pei Hong,et al. Mining association rules with multiple minimum supports using maximum constraints , 2005, Int. J. Approx. Reason..
[27] Yeong-Chyi Lee,et al. Actionable high-coherent-utility fuzzy itemset mining , 2014, Soft Comput..
[28] Rajeev Motwani,et al. Beyond market baskets: generalizing association rules to correlations , 1997, SIGMOD '97.
[29] Tzung-Pei Hong,et al. A fuzzy AprioriTid mining algorithm with reduced computational time , 2004, Appl. Soft Comput..
[30] Guoqing Chen,et al. Mining generalized association rules with fuzzy taxonomic structures , 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
[31] Tzung-Pei Hong,et al. Fuzzy data mining for interesting generalized association rules , 2003, Fuzzy Sets Syst..