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2008
ACM

Inductive process modeling

8 years 2 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in terms of processes with associated equations is desirable for scientific and engineering domains, where such notations are commonly used. We also argue that existing induction methods are not well suited to this task, although some techniques hold partial solutions. In response, we describe an approach to learning process models from time-series data and illustrate its behavior in three domains. In closing, we describe open issues in process model induction and encourage other researchers to tackle this important problem.
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where ML
Authors Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski
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