{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:54:19Z","timestamp":1778633659903,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540225706","type":"print"},{"value":"9783540278689","type":"electronic"}],"license":[{"start":{"date-parts":[[2004,1,1]],"date-time":"2004-01-01T00:00:00Z","timestamp":1072915200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2004,1,1]],"date-time":"2004-01-01T00:00:00Z","timestamp":1072915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-27868-9_83","type":"book-chapter","created":{"date-parts":[[2010,9,16]],"date-time":"2010-09-16T06:52:23Z","timestamp":1284619943000},"page":"762-770","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Cost-Based Classifier Evaluation for Imbalanced Problems"],"prefix":"10.1007","author":[{"given":"Thomas","family":"Landgrebe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pavel","family":"Pacl\u00edk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David M. J.","family":"Tax","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serguei","family":"Verzakov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert P. W.","family":"Duin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"83_CR1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"C.M. Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition, 1st edn. Oxford University Press Inc., New York (1995)","edition":"1"},{"key":"83_CR2","volume-title":"Pattern Classification","author":"R. Duda","year":"2001","unstructured":"Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd edn. Wiley- Interscience, Chichester (2001)","edition":"2"},{"key":"83_CR3","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/TC.1976.1674577","volume":"25","author":"R.P.W. Duin","year":"1976","unstructured":"Duin, R.P.W.: On the choice of smoothing parameters for parzen estimators of probability density functions. IEEE Trans. Computing\u00a025, 1175\u20131179 (1976)","journal-title":"IEEE Trans. Computing"},{"key":"83_CR4","unstructured":"Duin, R.P.W.: PRTools Version 3.0, A Matlab Toolbox for Pattern Recognition. Pattern Recognition Group, TUDelft (January 2000)"},{"key":"83_CR5","unstructured":"Flach, P.: The geometry of roc space: understanding machine learning metrics through roc isometrics. In: ICML 2003 Washington DC, pp. 194\u2013201 (2003)"},{"key":"83_CR6","volume-title":"Construction and Assessment of Classification Rules","author":"D.J. Hand","year":"1997","unstructured":"Hand, D.J.: Construction and Assessment of Classification Rules. John Wiley and Sons, Chichester (1997) ISBN 0-471- 96583-9"},{"key":"83_CR7","unstructured":"Highleyman, W.: Linear decision functions, with application to pattern recognition. In: Proc. IRE, vol. 49, pp. 31\u201348 (1961)"},{"key":"83_CR8","unstructured":"Kubat, M., Matwin, S.: Addressing the curse of imbalanced data sets: One-sided sampling. In: Proceedings, 14th ICML, Nashville, July 1997, pp. 179\u2013186 (1997)"},{"key":"83_CR9","doi-asserted-by":"crossref","unstructured":"Metz, C.: Basic principles of roc analysis. Seminars in Nuclear Medicine\u00a03(4) (1978)","DOI":"10.1016\/S0001-2998(78)80014-2"},{"key":"83_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1023\/A:1007601015854","volume":"42","author":"F. Provost","year":"2001","unstructured":"Provost, F., Fawcett, T.: Robust classification for imprecise environments. Machine Learning\u00a042, 203\u2013231 (2001)","journal-title":"Machine Learning"},{"key":"83_CR11","unstructured":"Weiss, G.M., Provost, F.: The effect of class distribution on classifier learning: an empirical study. Technical report ML-TR-44, Department of Computer Science, Rutgers University (August 2, 2001)"}],"container-title":["Lecture Notes in Computer Science","Structural, Syntactic, and Statistical Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-27868-9_83","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T14:14:42Z","timestamp":1778249682000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-540-27868-9_83"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540225706","9783540278689"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-27868-9_83","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004]]},"assertion":[{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}