{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T16:11:54Z","timestamp":1725898314441},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642336140"},{"type":"electronic","value":"9783642336157"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33615-7_20","type":"book-chapter","created":{"date-parts":[[2013,1,15]],"date-time":"2013-01-15T14:30:32Z","timestamp":1358260232000},"page":"752-762","source":"Crossref","is-referenced-by-count":4,"title":["Using Random Forests for Data Mining and Drowsy Driver Classification Using FOT Data"],"prefix":"10.1007","author":[{"given":"Cristofer","family":"Englund","sequence":"first","affiliation":[]},{"given":"Jordanka","family":"Kovaceva","sequence":"additional","affiliation":[]},{"given":"Magdalena","family":"Lindman","sequence":"additional","affiliation":[]},{"given":"John-Fredrik","family":"Gr\u00f6nvall","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"20_CR1","series-title":"Morgan Kaufmann Series in Data Management Systems","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann Publishers Inc., San Francisco (2005)","edition":"2"},{"key":"20_CR2","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/3-540-45583-3_6","volume-title":"Algorithmic Learning Theory","author":"B. Shneiderman","year":"2001","unstructured":"Shneiderman, B.: Inventing Discovery Tools: Combining Information Visualization with Data Mining. In: Abe, N., Khardon, R., Zeugmann, T. (eds.) ALT 2001. LNCS (LNAI), vol.\u00a02225, p. 58. Springer, Heidelberg (2001)"},{"key":"20_CR3","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.dss.2009.06.007","volume":"48","author":"D. Zhu","year":"2010","unstructured":"Zhu, D.: A hybrid approach for efficient ensambles. Decision Support Systems\u00a048, 480\u2013487 (2010)","journal-title":"Decision Support Systems"},{"key":"20_CR4","volume-title":"Pattern Recognition and Machine Learning","author":"C. Bishop","year":"2006","unstructured":"Bishop, C.: Pattern Recognition and Machine Learning. Springer, Singapore (2006)"},{"key":"20_CR5","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Whiley, New York (1998)"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1214\/aos\/1176325633","volume":"22","author":"L. Devroye","year":"1994","unstructured":"Devroye, L., Gyorfi, L., Krzyzak, A., Lugosi, G.: On the strong universal consistency of nearest neighbor regression function estimates. Annals of Statistics\u00a022, 1371\u20131385 (1994)","journal-title":"Annals of Statistics"},{"key":"20_CR7","volume-title":"Classification and Regression Trees","author":"L. Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth and Brooks, Monterey (1984)"},{"key":"20_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97610-0","volume-title":"Self-Organizing Maps","author":"T. Kohonen","year":"1995","unstructured":"Kohonen, T.: Self-Organizing Maps. Springer, Berlin (1995) (Second Extended Edition 1997)"},{"key":"20_CR9","unstructured":"Lesemann, M.: Testing and evaluation methods for ict-based safety systems, deliverable D1.1: State of the art and evalue scope. Technical report, eValue project (2008), \n                    \n                      http:\/\/www.evalue-project.eu\/pdf\/evalue-080402-d11-v14-final.pdf"},{"key":"20_CR10","unstructured":"Kircher, A.: Vehicle control and drowsiness. VTI Meddelande 922A, Swedish National Road Transport Resesarch Institute, Link\u00f6ping (2002)"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.jsr.2009.04.005","volume":"40","author":"C.C. Liu","year":"2009","unstructured":"Liu, C.C., Hosking, S.G., Lenn\u00e9, M.G.: Predicting driver drowsiness using vehicle measures: Recent insights and future challenges. Journal of Safety Research\u00a040, 239\u2013245 (2009)","journal-title":"Journal of Safety Research"},{"key":"20_CR12","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024, 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"20_CR13","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a045, 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"20_CR14","unstructured":"Breiman, L., Cutler, A.: RFtools\u2014for predicting and understanding data, Technical Report. Berkeley University, Berkeley, USA (2004)"},{"key":"20_CR15","volume-title":"Manual on setting up, using, and understanding random forests v3.1.","author":"L. Breiman","year":"2002","unstructured":"Breiman, L.: Manual on setting up, using, and understanding random forests v3.1. Berkeley University, Berkeley (2002)"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Kruskal, J., Wish, M.: Multidimensional scaling. Quantitative applications in the social sciences. Sage Publications (1978)","DOI":"10.4135\/9781412985130"},{"key":"20_CR17","first-page":"2579","volume":"9","author":"L. Maaten van der","year":"2008","unstructured":"van der Maaten, L., Hinton, G.: Visualizing high-dimensional data using t-SNE. Journal of Machine Learning Research\u00a09, 2579\u20132605 (2008)","journal-title":"Journal of Machine Learning Research"},{"key":"20_CR18","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for search. Technical Report SFI-TR-05-010, Santa Fe Institute (1995)"},{"key":"20_CR19","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.patcog.2010.08.011","volume":"44","author":"A. Verikas","year":"2011","unstructured":"Verikas, A., Gelzinis, A., Bacauskiene, M.: Mining data with random forests: A survey and results of new tests. Pattern Recognition\u00a044, 330\u2013349 (2011)","journal-title":"Pattern Recognition"}],"container-title":["Lecture Notes in Computer Science","On the Move to Meaningful Internet Systems: OTM 2012"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33615-7_20.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T12:16:01Z","timestamp":1620130561000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33615-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642336140","9783642336157"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33615-7_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}