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arXiv · 1004.3334

Generation and Interpretation of Temporal Decision Rules

Kamran Karimi·Howard J. Hamilton
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Abstract

We present a solution to the problem of understanding a system that produces a sequence of temporally ordered observations. Our solution is based on generating and interpreting a set of temporal decision rules. A temporal decision rule is a decision rule that can be used to predict or retrodict the value of a decision attribute, using condition attributes that are observed at times other than the decision attribute's time of observation. A rule set, consisting of a set of temporal decision rules with the same decision attribute, can be interpreted by our Temporal Investigation Method for Enregistered Record Sequences (TIMERS) to signify an instantaneous, an acausal or a possibly causal relationship between the condition attributes and the decision attribute. We show the effectiveness of our method, by describing a number of experiments with both synthetic and real temporal data.

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Kamran Karimi, Howard J. Hamilton. 2010-04-20. Generation and Interpretation of Temporal Decision Rules. https://arxiv.org/abs/1004.3334

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