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The comparison of decision tree and k-NN to analyze fertility using 2 different filters
Author(s) -
Naim Rochmawati,
Hanik Badriyah Hidayati,
Yuni Yamasari,
I Gusti Putu Asto,
Lusia Rakhmawati
Publication year - 2018
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/434/1/012048
Subject(s) - fertility , decision tree , infertility , filter (signal processing) , computer science , tree (set theory) , artificial intelligence , life style , machine learning , statistics , algorithm , mathematics , psychology , medicine , applied psychology , environmental health , pregnancy , biology , mathematical analysis , population , computer vision , genetics

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