{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T05:29:03Z","timestamp":1740634143494,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642164927"},{"type":"electronic","value":"9783642164934"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-16493-4_41","type":"book-chapter","created":{"date-parts":[[2010,10,14]],"date-time":"2010-10-14T07:47:57Z","timestamp":1287042477000},"page":"402-411","source":"Crossref","is-referenced-by-count":2,"title":["Application of Data Mining in Multi-Geological-Factor Analysis"],"prefix":"10.1007","author":[{"given":"Jing","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bian","family":"Bian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"41_CR1","doi-asserted-by":"crossref","unstructured":"Hongqi, L., Haifeng, G., Haimin, G., Zhaoxu, M.: Data mining techniques for complex formation evaluation in Petroleum Exploration and Production: A Comparison of Feature Selection and Classification Methods. In: Pacific-Asia-Workshop on Computational Intelligence and Industrial Application, vol.\u00a01, pp. 37\u201343 (2008)","DOI":"10.1109\/PACIIA.2008.241"},{"key":"41_CR2","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.engappai.2009.06.003","volume":"23","author":"X. Li","year":"2010","unstructured":"Li, X., Chan, C.W.: Application of an enhanced decision tree learning approach for prediction of petroleum production. Engineering Applications of Artificial Intelligence\u00a023, 102\u2013109 (2010)","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"2","key":"41_CR3","first-page":"195","volume":"29","author":"S. Guangren","year":"2008","unstructured":"Guangren, S.: Application of Support Vector Machine to multi-geological-factor analysis. Acta Petrolei Sinica\u00a029(2), 195\u2013198 (2008)","journal-title":"Acta Petrolei Sinica"},{"issue":"3","key":"41_CR4","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/j.marpetgeo.2004.01.003","volume":"21","author":"S. Guangren","year":"2004","unstructured":"Guangren, S., Xingxi, Z., Guangya, Z., Xiaofeng, S., Honghui, L.: The use of artificial neural network analysis and multiple regression for trap quality evaluation: A case study of the Northern Kuqa Depression of Tarim Basin in western China. Marine and Petroleum Geology\u00a021(3), 411\u2013420 (2004)","journal-title":"Marine and Petroleum Geology"},{"key":"41_CR5","unstructured":"Lina, Y., Guojun, X.: Prediction of abundance of hydrocarbon resources with artificial neural network method-\u2014Taking JiYang depression for example. Journal of Oil and Gas Technology\u00a029(1) (2007)"},{"key":"41_CR6","unstructured":"Chengqian, T., Narui, M., Chao, S.: Model and method for oil and gas productivity prediction of reservoir. Journal of Earth Sciences and Environment\u00a026(2) (2004)"},{"key":"41_CR7","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.dss.2008.06.013","volume":"46","author":"A.P. Sinha","year":"2008","unstructured":"Sinha, A.P., Zhao, H.: Incorporation domain knowledge into data mining classifiers: An application in indirect lending. Decision support System\u00a046, 287\u2013299 (2008)","journal-title":"Decision support System"},{"key":"41_CR8","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1016\/j.asoc.2006.04.002","volume":"7","author":"V. Mitra","year":"2007","unstructured":"Mitra, V., Wang, C.-j., Banerjee, S.: Text classification: A least square support vector machine approach. Appiled Soft Computing\u00a07, 908\u2013914 (2007)","journal-title":"Appiled Soft Computing"},{"key":"41_CR9","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/s11633-009-0062-2","volume":"6","author":"S. Appavu","year":"2009","unstructured":"Appavu, S., Balamurugan, A., Rajaram, R.: Effective and efficient feature selection for large-scale data using Bayes\u2019 theorem. International Journal of Automation and Computing\u00a06, 62\u201371 (2009)","journal-title":"International Journal of Automation and Computing"},{"key":"41_CR10","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1016\/S0098-1354(98)00237-3","volume":"22","author":"A. Elkamel","year":"1998","unstructured":"Elkamel, A.: An artificial neural network for predicting and optimizing immiscible flood performance in hetogeneous reservoirs. Computer Chem. Engng.\u00a022, 1699\u20131709 (1998)","journal-title":"Computer Chem. Engng."},{"key":"41_CR11","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.1016\/j.compchemeng.2003.11.004","volume":"28","author":"W. Yan","year":"2004","unstructured":"Yan, W., Shao, H., Wang, X.: Soft sending modeling based on support vector machine and Bayesian model selection. Computer and Chemical Engineering\u00a028, 1489\u20131498 (2004)","journal-title":"Computer and Chemical Engineering"}],"container-title":["Lecture Notes in Computer Science","Advances in Computation and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-16493-4_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T18:56:24Z","timestamp":1740596184000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-16493-4_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642164927","9783642164934"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-16493-4_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}