A fast algorithm to find all the maximal frequent sequences in a text

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3287, Issue , 2004, Pages 478-486

  García Hernández, René A ^a   Martínez Trinidad, José Fco ^a   Carrasco Ochoa, Jesús Ariel ^a  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; PATTERN RECOGNITION;

FAST ALGORITHMS; MAXIMAL FREQUENT SEQUENCES; SEQUENTIAL PATTERN MINING ALGORITHM; SEQUENTIAL PATTERN MINING PROBLEM;

ALGORITHMS;

EID: 33749669643     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30463-0_60     Document Type: Article

References (10)

1. Fayyad, U., Piatetsky-Shapiro G. Advances in Knowledge Discovery and Data mining. AAAI Press, 1996.
2. Feldman, R and Dagan, I. Knowledge Discovery in Textual Databases (KDT)", In Proceedings of the 1st International Conference on Knowledge Discovery (KDD-95) 1995.
3. Agrawal, R and Srikant, R. Mining Sequential Patterns" in Proceedings of the International Conference on Data Engineering, 1995.
4. Lin, Dao-I. Fast Algorithms for Discovering the Maximum Frequent Set, Ph. Thesis, New York University, 1998.
5. Pei, J, Han, et all: "PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth" in Proc International Conference on Data Engineering (ICDE 01), 2001.
6. Mohammend j. Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences, Machine Learning, Kluwer Academic Publishers, 2000.
7. Ahonen, H. Finding All Maximal Frequent Sequences in Text. ICML-99 Workshop: Machine Learning in Text Data, 1999.
8. Antunes, C., Olivcira A. Generalization of Pattern-growth Methods for Sequential Pattern Mining with Gap Constraints. Third IAPR Workshop on Machine Learning and Data Mining MLDM 2003, 2003.
9. th Intl. Conf. Extending Database Discovery and Data Mining, 1996.
10. Public domain documents from American and English literature as well as Western philosophy. http://www.infomotions.com/alex/