Causal Pattern Among Data Variables: Application Of Directed Acyclic Graphs
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 research article offers a review of open source and easy to
use software package 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. Tetrad
used to explore the causal relations in terms of a diagram directed acyclic graph (DAG).
Keywords— Causal Modeling, Decision Making, Directed Acyclic Graph, Tetrad.