Pattern Detection and Discovery
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
An iterative hypothesis-testing strategy for pattern discovery
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Local pattern detection and clustering
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
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In this paper we consider the question of uncertainty of detected patterns in data mining. In particular, we develop statistical tests for patterns found in continuous data, indicating the significance of these patterns in terms of the probability that they have occurred by chance. We examine the performance of these tests on patterns detected in several large data sets, including a data set describing the locations of earthquakes in California and another describing flow cytometry measurements on phytoplankton.