BASIC CONCEPT PYTHAGORAS TREE FOR CONSTRUCT DATA VISUALIZATION ON DECISION TREE LEARNING

Erlin Windia Ambarsari; Aulia Ar Rakhman Awaludin; Andri Suryana; Purni Munah Hartuti; Robbi Rahim

doi:10.5937/jaes17-21960

Erlin Windia Ambarsari Universitas Indraprasta PGRI
Aulia Ar Rakhman Awaludin
Andri Suryana
Purni Munah Hartuti
Robbi Rahim Universiti Malaysia Perlis

DOI: https://doi.org/10.5937/jaes17-21960

Keywords: Trees, fractals, decision trees, construction,

Abstract

Decision Tree in Data Mining frequently used to learn the pattern by interpreting data. A hierarchy of tree model in Decision Tree as data visualization which often used makes fully load space. Another option in using model is Phytagoras Tree. Pythagoras Tree in this study is the basic concept of Pythagorean Theorem that used by a binary hierarchy with a fractal technique which the shape using the square as branches enclose a right triangle. A fractal of Pythagoras Tree is the dataset which split the subsets into trunks and leaves. Construct a fractal of Pythagoras Tree depends on the angle θ for build branches followed by square area. Pythagoras Tree model is an easy way to understanding the dataset based on the size of the square. The smaller the size, the fewer instances in the rectangle. Also, data associations easily traced when filled with color.

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