| Alternate document: Details Mining Generalized Association Rules (95) Ramakrishnan Srikant, Rakesh Agrawal |
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Abstract: We are given a large database of customer transactions, where each transaction consists of customer-id, transaction time, and the items bought in the transaction. We introduce the problem of mining sequential patterns over such databases. We present three algorithms to solve this problem, and empirically evaluate their performance using synthetic data. Two of the proposed algorithms, AprioriSome and AprioriAll, have comparable performance, albeit AprioriSome performs a little better when the... (Update)
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BibTeX entry: (Update)
Rakesh Agrawal and Ramakrishnan Srikant. Mining Sequential Patterns. In Proc. of the 11th Int'l Conference on Data Engineering, Taipei, Taiwan, March 1995. http://citeseer.ist.psu.edu/agrawal95mining.html More
@inproceedings{ agrawal95mining,
author = "Rakesh Agrawal and Ramakrishnan Srikant",
title = "Mining sequential patterns",
booktitle = "Eleventh International Conference on Data Engineering",
publisher = "IEEE Computer Society Press",
address = "Taipei, Taiwan",
editor = "Philip S. Yu and Arbee S. P. Chen",
pages = "3--14",
year = "1995",
url = "citeseer.ist.psu.edu/agrawal95mining.html" }
Citations (may not include all citations):
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