{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T12:54:26Z","timestamp":1771937666297,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319730127","type":"print"},{"value":"9783319730134","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T00:00:00Z","timestamp":1513814400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-73013-4_15","type":"book-chapter","created":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T19:19:27Z","timestamp":1513797567000},"page":"164-171","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A Machine Learning Approach to Enhanced Oil Recovery Prediction"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9881-7371","authenticated-orcid":false,"given":"Fedor","family":"Krasnov","sequence":"first","affiliation":[]},{"given":"Nikolay","family":"Glavnov","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Sitnikov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,21]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","unstructured":"Guo, Z., Reynolds, A.C., Zhao, H.: A Physics-Based Data-Driven Model for History-Matching, Prediction and Characterization of Waterflooding Performance. Society of Petroleum Engineers. https:\/\/doi.org\/10.2118\/182660-MS","DOI":"10.2118\/182660-MS"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Shehata, A.M., El-banbi, A.H., Sayyouh, H.: Guidelines to Optimize CO2 EOR in Heterogeneous Reservoirs. Society of Petroleum Engineers. https:\/\/doi.org\/10.2118\/151871-MS","DOI":"10.2118\/151871-MS"},{"issue":"181","key":"15_CR3","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1090\/S0025-5718-1988-0917826-0","volume":"50","author":"A Weiser","year":"1988","unstructured":"Weiser, A., Zarantonello, S.E.: A note on piecewise linear and multilinear table interpolation in many dimensions. Math. Comput. 50(181), 189\u2013196 (1988)","journal-title":"Math. Comput."},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jngse.2016.08.045","volume":"35","author":"S Ghassemzadeh","year":"2016","unstructured":"Ghassemzadeh, S., Charkhi, A.H.: Optimization of integrated production system using advanced proxy based models. J. Nat. Gas Sci. Eng. 35, 89\u201396 (2016). ISSN 1875-5100","journal-title":"J. Nat. Gas Sci. Eng."},{"key":"15_CR5","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198534419.001.0001","volume-title":"Curve and Surface Fitting With Splines Monographs on Numerical Analysis","author":"P Dierckx","year":"1993","unstructured":"Dierckx, P.: Curve and Surface Fitting With Splines Monographs on Numerical Analysis. Oxford University Press, New York (1993)"},{"key":"15_CR6","unstructured":"Dyakonov, A.: Blog \u201cRandom Forest\u201d, 14 November 2016. https:\/\/alexanderdyakonov.wordpress.com"},{"issue":"1","key":"15_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001). https:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Mach. Learn."},{"key":"15_CR8","doi-asserted-by":"publisher","unstructured":"Gashler, M., Giraud-Carrier, C., Martinez, T.: Decision tree ensemble: small heterogeneous is better than large homogeneous. In: The Seventh International Conference on Machine Learning and Applications, pp. 900\u2013905 (2008). https:\/\/doi.org\/10.1109\/ICMLA.2008.154","DOI":"10.1109\/ICMLA.2008.154"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1613\/jair.614","volume":"11","author":"D Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Artif. Intell. Res. 11, 169\u2013198 (1999). https:\/\/doi.org\/10.1613\/jair.614","journal-title":"J. Artif. Intell. Res."},{"key":"15_CR10","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn machine learning in python. JMLR 12, 2825\u20132830 (2011)","journal-title":"JMLR"},{"key":"15_CR11","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/MCSE.2007.58","volume":"9","author":"TE Oliphant","year":"2007","unstructured":"Oliphant, T.E.: Python for scientific computing. Comput. Sci. Eng. 9, 10\u201320 (2007). https:\/\/doi.org\/10.1109\/MCSE.2007.58","journal-title":"Comput. Sci. Eng."},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1109\/MCSE.2011.36","volume":"13","author":"K Jarrod Millman","year":"2011","unstructured":"Jarrod Millman, K., Aivazis, M.: Python for scientists and engineers. Comput. Sci. Eng. 13, 9\u201312 (2011). https:\/\/doi.org\/10.1109\/MCSE.2011.36","journal-title":"Comput. Sci. Eng."},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MCSE.2011.37","volume":"13","author":"S van der Walt","year":"2011","unstructured":"van der Walt, S., Colbert, S.C., Varoquaux, G.: The NumPy array: a structure for efficient numerical computation. Comput. Sci. Eng. 13, 22\u201330 (2011). https:\/\/doi.org\/10.1109\/MCSE.2011.37","journal-title":"Comput. Sci. Eng."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"McKinney, W.: Data structures for statistical computing in python. In: Proceedings of the 9th Python in Science Conference, pp. 51\u201356 (2010)","DOI":"10.25080\/Majora-92bf1922-00a"}],"container-title":["Lecture Notes in Computer Science","Analysis of Images, Social Networks and Texts"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-73013-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:11:45Z","timestamp":1710324705000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-73013-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,21]]},"ISBN":["9783319730127","9783319730134"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-73013-4_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12,21]]},"assertion":[{"value":"21 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Analysis of Images, Social Networks and Texts","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aist2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/aistconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}