id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wkfnnwuk6zhkxiy32dhnltvsfq	Lingjian Yang	Mathematical programming for piecewise linear regression analysis	2016	43	.pdf	application/pdf	11668	1013	56	In data mining, regression analysis is a computational tool that predicts continuous output variables from a number of independent input variables, by approximating their complex inner relationship. In terms of piece-wise regression, the existing methods in literature are usually restricted to problems of very small scale, due to their inherent non-linear In this work, a more efficient piece-wise regression method is introduced based on a novel integer linear programming formulation. of regions are known, the mixed integer linear model is proposed to simultaneously determine the locations of multiple break-points and regression coefficients regression method that proposes low-complexity functions to predict output65 random forest achieves much robust prediction performance compared with single regression tree method (Breiman, 2001; Fanelli et al., 2011). prediction is based on the instances without an explicit training phase of constructing models, thus making it one of the simplest regression methods in regression analysis modelling piece-wise linear functions, which partitions	./cache/work_wkfnnwuk6zhkxiy32dhnltvsfq.pdf	./txt/work_wkfnnwuk6zhkxiy32dhnltvsfq.txt