iipp publishingJournal of Applied Engineering Science

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



DOI 10.5937/jaes17-21960
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 17 article 632 pages: 468 - 472

Erlin Windia Ambarsari 
Engineering and Computer Science Faculty, Universitas Indraprasta PGRI, Indonesia

Aulia Ar Rakhman Awaludin 
Engineering and Computer Science Faculty, Universitas Indraprasta PGRI, Indonesia

Andri Suryana 
Post Graduate of Universitas Indraprasta PGRI, Indonesia

Purni Munah Hartuti 
Engineering and Computer Science Faculty, Universitas Indraprasta PGRI, Indonesia

Robbi Rahim 
Sekolah Tinggi Ilmu Manajemen Sukma, Indonesia

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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