A Data Mining Approach to Predict urban Fires in Lisbon using H2o.ai python Library

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence

Bibliographic Details
Main Author: Quinta, Luís António Hill (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
Lisbon
Emergency Incident Prediction
Urban Fires
Predictive Modelling
H2oai
SDG 11 - Sustainable cities and communities. Target - 11.5 - By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses
Online Access:http://hdl.handle.net/10362/134984
Country:Portugal
Oai:oai:run.unl.pt:10362/134984

Internet

http://hdl.handle.net/10362/134984

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