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Abstract: Sequences of events are an important special form of data that arises in several contexts, including telecommunications, user interface studies, and epidemiology. We present a general and flexible framework of specifying classes of generalized episodes. These are recurrent combinations of events satisfying certain conditions. The framework can be instantiated to a wide variety of applications by selecting suitable primitive conditions. We present algorithms for discovering frequently occurring... (Update)
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BibTeX entry: (Update)
H. Mannila and H. Toivonen. Discovering generalized episodes using minimal occurrences. In Proceedings of the Second Int'l Conference on Knowledge Discovery and Data Mining (KDD'96), pp. 146 -- 151, Portland, Oregon, August 1996. AAAI Press. http://citeseer.ist.psu.edu/mannila96discovering.html More
@inproceedings{ mannila96discovering,
author = "Heikki Mannila and Hannu Toivonen",
title = "Discovering Generalized Episodes Using Minimal Occurrences",
booktitle = "Knowledge Discovery and Data Mining",
pages = "146-151",
year = "1996",
url = "citeseer.ist.psu.edu/mannila96discovering.html" }
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