{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:12Z","timestamp":1750221012678,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":34,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1145\/3331076.3331123","type":"proceedings-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T17:40:26Z","timestamp":1563558026000},"page":"1-10","source":"Crossref","is-referenced-by-count":5,"title":["A data mining approach for predicting main-engine rotational speed from vessel-data measurements"],"prefix":"10.1145","author":[{"given":"Dimitrios","family":"Kaklis","sequence":"first","affiliation":[{"name":"Harokopio University of Athens & NCSR Demokritos & Danaos Shipping Co., Athens, Greece"}]},{"given":"George","family":"Giannakopoulos","sequence":"additional","affiliation":[{"name":"NCSR Demokritos, Athens, Greece"}]},{"given":"Iraklis","family":"Varlamis","sequence":"additional","affiliation":[{"name":"Harokopio University of Athens, Athens, Greece"}]},{"given":"Constantine D.","family":"Spyropoulos","sequence":"additional","affiliation":[{"name":"NCSR Demokritos, Athens, Greece"}]},{"given":"Takis J.","family":"Varelas","sequence":"additional","affiliation":[{"name":"Danaos Shipping Co., Piraeus, Greece"}]}],"member":"320","reference":[{"key":"key-10.1145\/3331076.3331123-1","unstructured":"K. Amirnekooei, M. M. Ardehali, and A. Sadri. 2012. Integrated resource planning for Iran: Development of reference energy system, forecast, and long-term energy-environment plan. Energy 46 (2012), 374--385."},{"key":"key-10.1145\/3331076.3331123-2","unstructured":"B. Can and C. Heavey. 2012. A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models. Computers Operations Research 39 (2012), 424--436."},{"key":"key-10.1145\/3331076.3331123-3","unstructured":"Andrea Coraddu, Luca Oneto, Francesco Baldi, and Davide Anguita. 2017. Vessels fuel consumption forecast and trim optimisation: a data analytics perspective. Ocean Engineering 130 (2017), 351--370."},{"key":"key-10.1145\/3331076.3331123-4","unstructured":"C Eldershaw and Markus Hegland. 1997. Cluster analysis using triangulation. Computational Techniques and Applications (1997), 201--208."},{"key":"key-10.1145\/3331076.3331123-5","unstructured":"John Fox. 2015. Applied regression analysis and generalized linear models. Sage Publications."},{"key":"#cr-split#-key-10.1145\/3331076.3331123-6.1","doi-asserted-by":"crossref","unstructured":"Mihalis M Golias, Georgios K Saharidis, Maria Boile, Sotirios Theofanis, and Marianthi G Ierapetritou. 2009. The berth allocation problem: Optimizing vessel arrival time. Maritime Economics &#38","DOI":"10.1057\/mel.2009.12"},{"key":"#cr-split#-key-10.1145\/3331076.3331123-6.2","doi-asserted-by":"crossref","unstructured":"Logistics 11, 4 (2009), 358--377.","DOI":"10.1057\/mel.2009.12"},{"key":"key-10.1145\/3331076.3331123-7","unstructured":"H Hagiwara and JA Spaans. 1987. Practical weather routing of sail-assisted motor vessels. The Journal of Navigation 40, 1 (1987), 96--119."},{"key":"key-10.1145\/3331076.3331123-8","unstructured":"CR Henderson. 1974. General flexibility of linear model techniques for sire evaluation. Journal of Dairy Science 57, 8 (1974), 963--972."},{"key":"key-10.1145\/3331076.3331123-9","unstructured":"Charles R Henderson. 1975. Best linear unbiased estimation and prediction under a selection model. Biometrics (1975), 423--447."},{"key":"key-10.1145\/3331076.3331123-10","unstructured":"S. A. Kalogirou and M. Bojic. 2000. Artificial neural-networks for the prediction of the energy consumption of a passive solar-building. Energy 25 (2000), 479--91."},{"key":"key-10.1145\/3331076.3331123-11","unstructured":"Neungrit P. Kengpol A. 2014. A decision support methodology with risk assessment on prediction of terrorism insurgency distribution range radius and elapsing time: An empirical case study in Thailand. Computers Industrial Engineering (2014), 55--67."},{"key":"key-10.1145\/3331076.3331123-12","unstructured":"Boram Kim and Tae-Wan Kim. 2017. Weather routing for offshore transportation using genetic algorithm. Applied Ocean Research 63 (2017), 262--275."},{"key":"key-10.1145\/3331076.3331123-13","unstructured":"G.S. Kimeldorf and G. Wahba. 1971. Some Results on Tchebycheffian Spline Functions. J. Math. Anal. Appl. 33 (1971), 82--94."},{"key":"key-10.1145\/3331076.3331123-14","unstructured":"George S Kimeldorfand Grace Wahba. 1970. Spline functions and stochastic processes. Sankhyā: The Indian Journal of Statistics, Series A (1970), 173--180."},{"key":"#cr-split#-key-10.1145\/3331076.3331123-15.1","doi-asserted-by":"crossref","unstructured":"Odysseas Kosmas and Dimitrios Vlachos. 2012. Simulated annealing for optimal ship routing. Computers &#38","DOI":"10.1016\/j.cor.2011.05.010"},{"key":"#cr-split#-key-10.1145\/3331076.3331123-15.2","doi-asserted-by":"crossref","unstructured":"Operations Research 39, 3 (2012), 576--581.","DOI":"10.1016\/j.cor.2011.05.010"},{"key":"key-10.1145\/3331076.3331123-16","unstructured":"William H Kruskal and W Allen Wallis. 1952. Use of ranks in one-criterion variance analysis. Journal of the American statistical Association 47, 260 (1952), 583--621."},{"key":"key-10.1145\/3331076.3331123-17","unstructured":"Edward V Lewis. 1988. Principles of naval architecture, Second revision. Jersey: SNAME 2 (1988)."},{"key":"key-10.1145\/3331076.3331123-18","doi-asserted-by":"crossref","unstructured":"P McCullagh and J. A. Nelder. 1989. Generalized Linear Models. Vol. 2nd ed. Chapman and Hall\/CRC Press.","DOI":"10.1007\/978-1-4899-3242-6"},{"key":"key-10.1145\/3331076.3331123-19","unstructured":"Marian Neamtu. 2007. Delaunay configurations and multivariate splines: A generalization of a result of BN Delaunay. Trans. Amer. Math. Soc. 359, 7 (2007), 2993--3004."},{"key":"key-10.1145\/3331076.3331123-20","unstructured":"B. Ozer and E. Gorgun. 2013. ÎŹncecik, S., The scenario analysis on CO2 emission mitigation potential in the Turkish electricity sector: 2006--2030. Energy 49 (2013), 395--403."},{"key":"key-10.1145\/3331076.3331123-21","doi-asserted-by":"crossref","unstructured":"Adnan Parlak, Yasar Islamoglu, Halit Yasar, and Aysun Egrisogut. 2006. Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a diesel engine. Applied Thermal Engineering 26, 8-9 (2006), 824--828.","DOI":"10.1016\/j.applthermaleng.2005.10.006"},{"key":"key-10.1145\/3331076.3331123-22","unstructured":"Kalogirou Sa. 2000. Applications of artificial neural-networks for energy systems. Applied Energy 67 (2000), 17--35."},{"key":"key-10.1145\/3331076.3331123-23","unstructured":"R Savitha, Abdullah Al Mamun, et al. 2017. Regional ocean wave height prediction using sequential learning neural networks. Ocean Engineering 129 (2017), 605--612."},{"key":"key-10.1145\/3331076.3331123-24","unstructured":"Wei Shao, Peilin Zhou, and Sew Kait Thong. 2012. Development of a novel forward dynamic programming method for weather routing. Journal of marine science and technology 17, 2 (2012), 239--251."},{"key":"key-10.1145\/3331076.3331123-25","unstructured":"George Stergiopoulos, Evangelos Valvis, Dimitris Mitrodimas, Dimitrios Lekkas, and Dimitris Gritzalis. 2018. Analyzing Congestion Interdependencies of Ports and Container Ship Routes in the Maritime Network Infrastructure. IEEE Access 6 (2018), 63823--63832."},{"key":"key-10.1145\/3331076.3331123-26","unstructured":"Rafal Szlapczynski and Joanna Szlapczynska. 2012. On evolutionary computing in multi-ship trajectory planning. Applied Intelligence 37, 2 (2012), 155--174."},{"key":"key-10.1145\/3331076.3331123-27","unstructured":"N. K. Togun and S. Baysec. 2010. Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural Networks. Applied Energy 87 (2010), 349--355."},{"key":"#cr-split#-key-10.1145\/3331076.3331123-28.1","unstructured":"Athanasios K Tsadiras, CT Papadopoulos, and Michael EJ OâĂŹKelly. 2013. An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines. Computers &#38"},{"key":"#cr-split#-key-10.1145\/3331076.3331123-28.2","doi-asserted-by":"crossref","unstructured":"industrial engineering 66, 4 (2013), 1150--1162.","DOI":"10.1016\/j.cie.2013.07.024"},{"key":"key-10.1145\/3331076.3331123-29","unstructured":"DS Vlachos. 2004. Optimal ship routing based on wind and wave forecasts. Applied Numerical Analysis and Computational Mathematics 1, 2 (2004), 547--551."},{"key":"key-10.1145\/3331076.3331123-30","unstructured":"Conor Walsh and Alice Bows. 2012. Size matters: exploring the importance of vessel characteristics to inform estimates of shipping emissions. Applied Energy 98 (2012), 128--137."},{"key":"key-10.1145\/3331076.3331123-31","unstructured":"Laura Walther, Anisa Rizvanolli, Mareike Wendebourg, and Carlos Jahn. 2016. Modeling and optimization algorithms in ship weather routing. International Journal of e-Navigation and Maritime Economy 4 (2016), 31--45."}],"event":{"name":"the 23rd International Database Applications & Engineering Symposium","start":{"date-parts":[[2019,6,10]]},"number":"23","location":"Athens, Greece","end":{"date-parts":[[2019,6,12]]},"acronym":"IDEAS '19"},"container-title":["Proceedings of the 23rd International Database Applications & Engineering Symposium on   - IDEAS '19"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331076.3331123","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3331123&ftid=2073415&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:06Z","timestamp":1750206366000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3331076.3331123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1145\/3331076.3331123","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}