An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series – Minerva – Machine Learning – Data Science

M Martínez-Ballesteros, Troncoso A, Martínez-Álvarez F., J C Riquelme: An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series. En: Soft Computing, vol. 15, no 10, pp. 2065-2084, 2011, (IF 1.880 24/99 Int App Q1, 30/111 Art Int Q2).

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doi:10.1007/s00500-011-0705-4

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@article{mmr11,
title = {An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series},
author = {M Martínez-Ballesteros and Troncoso A and Martínez-Álvarez F. and J C Riquelme},
doi = {10.1007/s00500-011-0705-4},
year  = {2011},
date = {2011-01-01},
journal = {Soft Computing},
volume = {15},
number = {10},
pages = {2065-2084},
note = {IF 1.880 24/99 Int App Q1, 30/111 Art Int Q2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}