A Fast Algorithm for Mining Rare Itemsets

被引:43
作者
Troiano, Luigi [1 ]
Scibelli, Giacomo [2 ]
Birtolo, Cosimo [2 ]
机构
[1] Univ Sannio, Dept Engn, I-82100 Benevento, Italy
[2] Poste Italiane SpA TI SS, Centro Ricerca & Sviluppo, I-80133 Naples, Italy
来源
2009 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS | 2009年
关键词
D O I
10.1109/ISDA.2009.55
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mining patterns in large databases is a challenging task facing NP-hard problems. Research focused attention on the most occurrent patterns, although less frequent patterns still offer interesting insights. In this paper we propose a new algorithm for discovering infrequent patterns and compare it to other solutions.
引用
收藏
页码:1149 / +
页数:2
相关论文
共 11 条
[1]   Parallel mining of association rules [J].
Agrawal, R ;
Shafer, JC .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1996, 8 (06) :962-969
[2]  
Agrawal R., 1993, SIGMOD Record, V22, P207, DOI 10.1145/170036.170072
[3]  
Agrawal R., 1994, P 20 INT C VER LARG, V1215, P487, DOI DOI 10.5555/645920.672836
[4]   Mining frequent patterns without candidate generation: A frequent-pattern tree approach [J].
Han, JW ;
Pei, J ;
Yin, YW ;
Mao, RY .
DATA MINING AND KNOWLEDGE DISCOVERY, 2004, 8 (01) :53-87
[5]   An enhanced a Priori algorithm for mining multidimensional association rules [J].
Janas, JM .
ITI 2003: PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, 2003, :193-198
[6]  
Koh YS, 2005, LECT NOTES ARTIF INT, V3518, P97
[7]  
Liu W., 1999, P 5 ACM SIGKDD INT C, P337, DOI [DOI 10.1145/312129.312274, 10.1145/312129.312274]
[8]  
Savasere A., 1995, VLDB '95. Proceedings of the 21st International Conference on Very Large Data Bases, P432
[9]   Towards rare itemset mining [J].
Szathmary, Laszlo ;
Napoli, Amedeo ;
Valtchev, Petko .
19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL I, PROCEEDINGS, 2007, :305-+
[10]  
Weiss G. M., 2004, ACM SIGKDD EXPLORATI, V6, P19, DOI [DOI 10.1145/1007730.1007734, 10.1145/1007730.1007734]