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13

KDD
1998
ACM

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Learning to Predict Rare Events in Event Sequences

13 years 8 months ago

Learning to Predict Rare Events in Event Sequences

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Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are not well suited to solve. This paper describes timeweaver, a genetic algorithm based machine learning system that predicts rare events by identifying predictive temporal and sequential patterns. Timeweaver is applied to the task of predicting telecommunication equipment failures from 110,000 alarm messages and is shown to outperform existing learning methods.

Gary M. Weiss, Haym Hirsh

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Data Mining | KDD 1998 | Machine Learning | Machine Learning Methods | Rare Events |

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Added	06 Aug 2010
Updated	06 Aug 2010
Type	Conference
Year	1998
Where	KDD
Authors	Gary M. Weiss, Haym Hirsh

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