Exploring Causal Relations in Data Mining by Using Directed Acyclic Graphs (DAG)

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Provided by: Institute of Research and Journals (IRAJ)
Topic: Data Management
Format: PDF
Discovering causal pattern among the set of variables in a database is the primary task of data mining thereby well predicted models can be developed for decision making. This paper offers a review of open source and easy to use software package Tetrad used to explore the causal relations in terms of a diagram Directed Acyclic Graph (DAG). Causal modeling through directed acyclic graphs is a powerful analytic tool that explores the cause and effect relationship between study variables especially in the time series data that encompass of higher variations.
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