A Proposed Gradient Tree Boosting with Different Loss Function in Crime Forecasting and Analysis

Author:

Khairuddin Alif Ridzuan,Alwee Razana,Haron Habibollah

Publisher

Springer International Publishing

Reference19 articles.

1. Ismail, S., Ramli, N.: Short-term crime forecasting in Kedah. Procedia - Soc. Behav. Sci. 91, 654–660 (2013)

2. Rather, A.M., Sastry, V., Agarwal, A.: Stock market prediction and Portfolio selection models: a survey. OPSEARCH 54, 1–22 (2017)

3. Alwee, R.: Swarm optimized support vector regression with autoregressive integrated moving average for modeling of crime rate. Unpublished dissertation in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Universiti Teknologi Malaysia, Johor Bahru, Malaysia (2014)

4. Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29, 1189–1232 (2001)

5. Chandrasekar, A., Raj, A.S., Kumar, P.: Crime prediction and classification in San Francisco City. CS229 Technical report: Machine Learning. Stanford Computer Science Department: Stanford University (2015)

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