@article{28c7d537fd374197b3a664915feeb1ff,
title = "Missing values: how many can they be to preserve classification reliability?",
keywords = "classification, data mining, distance measures, et{\"a}isyysmitat, koneoppiminen, luokittelu, l{\"a}himm{\"a}n naapurin menetelm{\"a}, l{\"a}{\"a}ketieteellinen data, machine learning, medical data, missing values, nearest neighbour searching, puuttuvat arvot, tiedonlouhinta, classification, data mining, distance measures, et{\"a}isyysmitat, koneoppiminen, luokittelu, l{\"a}himm{\"a}n naapurin menetelm{\"a}, l{\"a}{\"a}ketieteellinen data, machine learning, medical data, missing values, nearest neighbour searching, puuttuvat arvot, tiedonlouhinta",
author = "Martti Juhola and Jorma Laurikkala",
year = "2013",
doi = "10.1007/s10462-011-9282-2",
language = "English",
volume = "40",
pages = "231--245",
journal = "Artificial Intelligence Review",
issn = "0269-2821",
publisher = "Springer Verlag",
number = "3",
}