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Disambiguation of "Martínez-Álvarez, Francisco"

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Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.

, , , and . Integrated Computer-Aided Engineering, 17 (3): 227-242 (2010)

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Martin Alvarez University of Stuttgart

Francisco Costa Garcia University of Stuttgart

Dr. Preston Francisco Rodrigues University of Stuttgart

Dr. Venancio Martinez Garcia University of Stuttgart

Manuel Alvarez Chaves University of Stuttgart

 

Other publications of authors with the same name

Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms., , , and . ICAART (1), page 574-577. SciTePress, (2011)Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms., , , and . HIS, page 831-836. IEEE Computer Society, (2008)Obtaining optimal quality measures for quantitative association rules., , , and . Neurocomputing, (2016)A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables., , , and . Neurocomputing, (2015)MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting., , , and . Neurocomputing, (2019)Energy Time Series Forecasting Based on Pattern Sequence Similarity., , , and . IEEE Trans. Knowl. Data Eng., 23 (8): 1230-1243 (2011)A novel methodology to predict urban traffic congestion with ensemble learning., , , and . Soft Comput., 20 (11): 4205-4216 (2016)Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences., , and . IDA, volume 5772 of Lecture Notes in Computer Science, page 357-368. Springer, (2009)Analysis of Student Achievement Scores: A Machine Learning Approach., , , , , and . CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 275-284. Springer, (2019)Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks., , , and . SOCO, volume 950 of Advances in Intelligent Systems and Computing, page 91-100. Springer, (2019)