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Abstract: . The problem of mining sequential patterns was recently introduced in [3]. We are given a database of sequences, where each sequence is a list of transactions ordered by transaction-time, and each transaction is a set of items. The problem is to discover all sequential patterns with a user-specified minimum support, where the support of a pattern is the number of data-sequences that contain the pattern. An example of a sequential pattern is "5% of customers bought `Foundation' and `Ringworld'... (Update)
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BibTeX entry: (Update)
Srikant, R., & Agrawal, R. (1996). Mining sequential patterns: Generalizations and performance improvements, . Proc. of the Fifth Int'l Conference on Extending Database Technology (EDBT). Avignon, France. http://citeseer.ist.psu.edu/article/srikant96mining.html More
@inproceedings{ srikant96mining,
author = "Ramakrishnan Srikant and Rakesh Agrawal",
title = "Mining Sequential Patterns: Generalizations and Performance Improvements",
booktitle = "Proc. 5th Int. Conf. Extending Database Technology, {EDBT}",
volume = "1057",
month = "25--29~",
publisher = "Springer-Verlag",
editor = "Peter M. G. Apers and Mokrane Bouzeghoub and Georges Gardarin",
isbn = "3-540-61057-X",
pages = "3--17",
year = "1996",
url = "citeseer.ist.psu.edu/article/srikant96mining.html" }
Citations (may not include all citations):921 Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993
910 Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
340 Mining Sequential Patterns - Agrawal, Srikant - 1995
268 Mining Generalized Association Rules - Srikant, Agrawal - 1995
213 Discovery of multiple-level association rules from large dat.. - Han, Fu - 1995
189 Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
157 Mining Sequential Patterns: Generalizations and Performance .. - Srikant, Agrawal - 1995
51 Combinatorial pattern discovery for scientific data: Some pr.. (context) - Wang, Chirn et al. - 1994
The graph only includes citing articles where the year of publication is known.
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