The TIMERS II Algorithm for the Discovery of Causality
نویسندگان
چکیده
We present the Temporal Investigation Method for Enregistered Record Sequences II (TIMERS II), which can be used to classify the relationship between a decision attribute and a number of condition attributes as instantaneous, causal, or acausal. In this paper we consider it possible to refer to both previous and next values of attributes in temporal rules, and thus enhance the definition of acausality. We also present a new algorithm for distinguishing between causality and acausality.
منابع مشابه
An Extension to the TIMERS Method
In this paper we present TIMERS II (Temporal Investigation Method for Enregistered Record Sequences II). Assuming that the effects take time to manifest, TIMERS II merges the input records and brings the causes and effects together. The output is in the form of a set of decision rules. The condition attributes’ values could have been observed in the past or the future relative to the decision a...
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