Discovery of Frequent Episodes in Event Sequences

@article{citeulike:1982001, abstract = {Sequences of events describing the behavior and actions of users or systems can be collected in several domains. We consider the problem of discovering frequently occurring episodes in such sequences. An episode is defined to be a collection of events that occur relatively close to each other in a given partial order. Once such episodes are known, one can produce rules for describing or predicting the behavior of the sequence. We give efficient algorithms for the discovery of all frequent...}, author = {Mannila, Heikki and Toivonen, Hannu and Verkamo, Inkeri A. }, citeulike-article-id = {1982001}, journal = {Data Mining and Knowledge Discovery}, keywords = {episode, frequent}, number = {3}, pages = {259--289}, posted-at = {2007-11-25 19:35:13}, priority = {3}, title = {Discovery of Frequent Episodes in Event Sequences}, url = {http://citeseer.ist.psu.edu/33618.html}, volume = {1}, year = {1997} }

TY - JOUR ID - citeulike:1982001 L3 - citeulike-article-id:1982001 TI - Discovery of Frequent Episodes in Event Sequences JF - Data Mining and Knowledge Discovery VL - 1 IS - 3 SP - 259 EP - 289 N2 - Sequences of events describing the behavior and actions of users or systems can be collected in several domains. We consider the problem of discovering frequently occurring episodes in such sequences. An episode is defined to be a collection of events that occur relatively close to each other in a given partial order. Once such episodes are known, one can produce rules for describing or predicting the behavior of the sequence. We give efficient algorithms for the discovery of all frequent... KW - episode KW - frequent AU - Mannila, Heikki AU - Toivonen, Hannu AU - Verkamo, Inkeri PY - 1997/// UR - http://citeseer.ist.psu.edu/33618.html ER -