A proposed gradient tree boosting with different loss function in crime forecasting and analysis

• Main Authors: Khairuddin, Alif Ridzuan, Alwee, Razana, Haron, Habibollah
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/89844/; http://dx.doi.org/10.1007/978-3-030-33582-3_18
• Institution: Universiti Teknologi Malaysia

Gradient tree boosting (GTB) is a newly emerging artificial intelligence technique in crime forecasting. GTB is a stage-wise additive framework that adopts numerical optimisation methods to minimise the loss function of the predictive model which later enhances it predictive capabilities. The applie...