PREDICTING RARE EVENTS IN TIME SERIES

Junjie Hou and Chunping Li
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Junjie Hou: School of Software, Tsinghua University, 100084, Beijing, China
Chunping Li: Data Mining Group, Institute of Information System & Engineering, School of Software, Tsinghua University, 100084, Beijing, China

Chapter 19 in Knowledge Management:Nurturing Culture, Innovation, and Technology, 2005, pp 221-229 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractEvent prediction is one of the main purposes in association rule mining. In this paper, we propose an approach for predicting rare events efficiently, like engine failures, stock price situations and market analysis etc. We associate a transaction as ordinal event series that occur in equal length intervals and formulate the problem of predicting rare events. Furthermore, an algorithm for discovering valuable patterns in time series is given.

Keywords: Knowledge Management; Knowledge Sharing; Knowledge Discovery; KM Tools and Technologies; Communication and Organization Culture (search for similar items in EconPapers)
Date: 2005
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