GECCO Industrial Challenge 2019 Dataset: A water quality dataset for the 'Internet of Things: Online Event Detection for Drinking Water Quality Control' competition at the Genetic and Evolutionary Computation Conference 2019, Prague, Czech Republic.

Dataset of the 'Internet of Things: Online Event Detection for Drinking Water Quality Control' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 13th-17th 2019, Prague, Czech Republic The task of the competition was to develop an anomaly detection algorithm for a water- and environmental data set. Included in zenodo: - dataset of water quality data - additional material and descriptions provided for the competition The competition was organized by: F. Rehbach, S. Moritz, T. Bartz-Beielstein (TH Köln) The dataset was provided by: Thüringer Fernwasserversorgung and IMProvT research project Internet of Things: Online Event Detection for Drinking Water Quality Control Description: For the 8th time in GECCO history, the SPOTSeven Lab is hosting an industrial challenge in cooperation with various industry partners. This years challenge, based on the 2018 challenge, is held in cooperation with "Thüringer Fernwasserversorgung" which provides their real-world data set. The task of this years competition is to develop an anomaly detection algorithm for the water- and environmental data set. Early identification of anomalies in water quality data is a challenging task. It is important to identify true undesirable variations in the water quality. At the same time, false alarm rates have to be very low. <br> Competition Opens: End of January/Start of February 2019<br> Final Submission: 30 June 2019 Official webpage: https://www.th-koeln.de/informatik-und-ingenieurwissenschaften/gecco-challenge-2019_63244.php