{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:06:06Z","timestamp":1725487566734},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540425816"},{"type":"electronic","value":"9783540448167"}],"license":[{"start":{"date-parts":[[2001,1,1]],"date-time":"2001-01-01T00:00:00Z","timestamp":978307200000},"content-version":"tdm","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":[[2001]]},"DOI":"10.1007\/3-540-44816-0_14","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T16:38:51Z","timestamp":1184603931000},"page":"135-144","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Correlation-Based and Contextual Merit-Based Ensemble Feature Selection"],"prefix":"10.1007","author":[{"given":"Seppo","family":"Puuronen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexey","family":"Tsymbal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iryna","family":"Skrypnyk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2001,9,3]]},"reference":[{"key":"14_CR1","series-title":"Lect Notes Comput Sci","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/BFb0052826","volume-title":"Advances in Intelligent Data Analysis","author":"C. Apte","year":"1997","unstructured":"Apte, C., Hong, S.J., Hosking, J.R.M., Lepre, J., Pednault, E.P.D., Rosen, B.K.: Decomposition of Heterogeneous Classification Problems. In X. Liu, P. Cohen, M. Bethold (eds.): Advances in Intelligent Data Analysis, Lecture Notes in Computer Science, Vol. 1280. Springer-Verlag (1997) 17\u201328"},{"key":"14_CR2","volume-title":"Proc. 17th Int. Conf. on Machine learning","author":"M. Hall","year":"2000","unstructured":"Hall, M.: Correlation-based feature selection for discrete and numeric class machine learning. In: Proc. 17th Int. Conf. on Machine learning. Morgan Kaufmann Publishers, CA (2000)."},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1109\/69.634751","volume":"9","author":"S.J. Hong","year":"1997","unstructured":"Hong, S.J.: Use of contextual information for feature ranking and discretization. IEEE Transactions on knowledge and Data Engineering 9 (1997) 718\u2013730","journal-title":"IEEE Transactions on knowledge and Data Engineering"},{"key":"14_CR4","unstructured":"Kohavi, R., Sommerfield, D., Dougherty, J.: Data Mining UsingMLC++: AMachine Learning Library in C++. In: Tools with Artificial Intelligence, IEEE CS Press (1996) 234\u2013245"},{"key":"14_CR5","unstructured":"Merz, C.J., Murphy, P.M.: UCI Repository of Machine Learning Datasets [\n                    http:\/\/www.ics.uci.edu\/(mlearn\/MLRepository.html\n                    \n                  ]. Dep-t of Information and CS, Un-ty of California, Irvine, CA (1998)"},{"key":"14_CR6","doi-asserted-by":"crossref","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. Artificial Intelligent Research 11 (1999) 169\u2013198","journal-title":"Artificial Intelligent Research"},{"key":"14_CR7","unstructured":"Opitz, D.: Feature Selection for Ensembles. In: Proc. of the 16th National Conf. on Artificial Intelligence (AAAI), Orlando (1999) 379\u2013384"},{"key":"14_CR8","unstructured":"Oza, N., Tumer, K.: Dimensionality Reduction Through Classifier Ensembles. Tech. Rep. NASA-ARC-IC-1999-126 (1999)"},{"key":"14_CR9","unstructured":"Prodromidis, A. L., Stolfo, S. J., Chan P. K.: Pruning Classifiers in a Distributed Meta-Learning System. In: Proc. 1st National Conference on New Information Technologies. (1998) 151\u2013160"},{"key":"14_CR10","unstructured":"Puuronen, S., Skrypnyk, I., Tsymbal, A.: Ensemble Feature Selection based on the Contextual Merit. In: Proc. 3rd Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK\u201901). September 5\u20137, 2001 Munich, Germany"},{"key":"14_CR11","unstructured":"Puuronen, S., Skrypnyk, I., Tsymbal, A.: Ensemble Feature Selection based on Contextual Merit and Correlation Heuristics. In: Proceedings of the Fifth East-European Conference on Advances in Databases and Information Systems. September 25\u201328, 2001, Vilnius, Lithuania"},{"key":"14_CR12","volume-title":"C4.5: programs for machine learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: programs for machine learning. Morgan Kaufmann, San Mateo, California (1993)"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44816-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T23:31:52Z","timestamp":1558481512000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44816-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540425816","9783540448167"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/3-540-44816-0_14","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]},"assertion":[{"value":"3 September 2001","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}