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Found 1 from your keywords: author=SAUD, AGUSTINA ROSARIA

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PREDIKSI TINGKAT KRIMINALITAS MENGGUNAKAN LONG SHORT TERM MEMORY (LSTM)

Prediction or also called forecasting is the process of estimating events that will occur in the future. In this research, software is developed that can predict crime rates using the Long Short-term Memory method using the Los Angles crime dataset which has a crime type domain of 139 with details of 9 types of crimes that have the most frequency, namely; vehicle - stolen, battery - simple assa…

Edition: -
ISBN/ISSN: -
Collation: x, 46 hlm., ilus., tab.; 29 cm
Series Title: -
Call Number: T1661912025

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