id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_j4ybcrbgtbe2jjj7hswncii7pi	Wolfgang Pietsch	Aspects of Theory-Ladenness in Data-Intensive Science	2015	11	.pdf	application/pdf	4994	349	49	Aspects of theory-ladenness in data-intensive science Recent claims, mainly from computer scientists, concerning a largely automated and modelfree data-intensive science have been countered by critical reactions from a number of the actual methods used in data-intensive science and (ii) the specific ways in which these data-intensive science, I draw an analogy to exploratory as opposed to theory-directed the debate on theory-ladenness in data-intensive science. we will look at two simple but widely-used algorithms, namely classificatory trees and nonparametric regression, to examine how much and what kind of theory must be presupposed in The term data-intensive science is notoriously blurry, as has been emphasized for example by premises that are necessary to carry out eliminative induction: data-intensive science requires which ways data-intensive science is indeed theory-laden, and, more importantly, in which The framing of classificatory trees in particular and of problems in data-intensive science in An important difference between exploratory experimentation and data-intensive science is 	./cache/work_j4ybcrbgtbe2jjj7hswncii7pi.pdf	./txt/work_j4ybcrbgtbe2jjj7hswncii7pi.txt