CLASSIFICATION OF TIME SERIES DATA BASED ON LATENT MOTIVES FOR EXTREME WEATHER PREDICTION

Extreme weather events have the potential to cause significant damage and disasters in affected regions, highlighting the need for accurate prediction for effective disaster mitigation. This study proposes a latent motif-based time series data classification approach for extreme weather prediction a...

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Bibliographic Details
Main Author: Aflita Rahmawati, Ratih
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/74541
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Institution: Institut Teknologi Bandung
Language: Indonesia