{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:26:33Z","timestamp":1760707593443},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540287575"},{"type":"electronic","value":"9783540287582"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11551188_44","type":"book-chapter","created":{"date-parts":[[2005,9,27]],"date-time":"2005-09-27T14:21:03Z","timestamp":1127830863000},"page":"410-419","source":"Crossref","is-referenced-by-count":8,"title":["Using kNN Model for Automatic Feature Selection"],"prefix":"10.1007","author":[{"given":"Gongde","family":"Guo","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Neagu","sequence":"additional","affiliation":[]},{"given":"Mark T. D.","family":"Cronin","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"44_CR1","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1016\/S0045-6535(02)00508-8","volume":"49","author":"M.T.D. Cronin","year":"2002","unstructured":"Cronin, M.T.D., Aptula, A.O., Duffy, J.C., et al.: Comparative Assessment of Methods to Develop QSARs for the Prediction of the Toxicity of Phenols to Tetrahymena Pyriformis. Chemosphere\u00a049, 1201\u20131221 (2002)","journal-title":"Chemosphere"},{"key":"44_CR2","unstructured":"Fayyad, U.M., Irani, K.B.: The Attribute Selection Problem in Decision Tree Generation. In: Proc. of AAAI 1992, the 9th National Conference on Artificial Intelligence, pp. 104\u2013110. AAAI Press\/The MIT Press (1992)"},{"key":"44_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1007\/978-3-540-39964-3_62","volume-title":"On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE","author":"G. Guo","year":"2003","unstructured":"Guo, G., Wang, H., Bell, D., et al.: kNN Model-based Approach in Classification. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol.\u00a02888, pp. 986\u2013996. Springer, Heidelberg (2003)"},{"key":"44_CR4","unstructured":"Hall, M.A.: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proc. of ICML 2000, the 17th International Conference on Machine Learning, pp. 359\u2013366 (2000)"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Huang, Y., McCullagh, P.J., Black, N.D.: Feature Selection via Supervised Model Construction. In: Proc. of the Fourth IEEE International Conference on Data Mining, pp. 411\u2013414 (2004)","DOI":"10.1109\/ICDM.2004.10052"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"John, G.H., Kohavi, R., Pfleger, K.: Irrelevant Feature and the Subset Selection Problem. In: Cohen, W.W., Hirsh, H. (eds.) Machine Learning: Proc. of the Eleventh International Conference, New Brunswick, N.J., Rutgers University, pp. 121\u2013129 (1994)","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"44_CR7","doi-asserted-by":"crossref","unstructured":"Kira, K., Rendell, L.A.: A Practical Approach to Feature Selection. Machine Learning, 249\u2013256 (1992)","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"44_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/3-540-57868-4_57","volume-title":"Machine Learning: ECML-94","author":"I. Kononenko","year":"1994","unstructured":"Kononenko, I.: Estimating attributes: Analysis and Extension of Relief. In: Bergadano, F., De Raedt, L. (eds.) ECML 1994. LNCS, vol.\u00a0784, pp. 171\u2013182. Springer, Heidelberg (1994)"},{"key":"44_CR9","doi-asserted-by":"crossref","unstructured":"Liu, H., Yu, L., Dash, M., Motoda, H.: Active Feature Selection Using Classes. In: Whang, K.-Y., Jeon, J., Shim, K., Srivastava, J. (eds.) PAKDD 2003. LNCS (LNAI), vol.\u00a02637, pp. 474\u2013485. Springer, Heidelberg (2003)","DOI":"10.1007\/3-540-36175-8_48"},{"key":"44_CR10","first-page":"23","volume-title":"Machine Learning","author":"M. Robnik","year":"2003","unstructured":"Robnik, M., Kononenko, I.: Machine Learning, vol.\u00a053, pp. 23\u201369. Kluwer Academic Publishers, Dordrecht (2003)"},{"key":"44_CR11","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M.R. Sikonja","year":"2003","unstructured":"Sikonja, M.R., Kononenko, I.: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning Journal\u00a053, 23\u201369 (2003)","journal-title":"Machine Learning Journal"},{"key":"44_CR12","unstructured":"S\u00f8ndberg-Madsen, N., Thomsen, C., Pe\u00f1a, J.M.: Unsupervised Feature Subset Selection. In: Proc. of the Workshop on Probabilistic Graphical Models for Classification (within ECML\/PKDD 2003), pp. 71\u201382 (2003)"},{"key":"44_CR13","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1080\/105172397243079","volume":"7","author":"T.W. Scheultz","year":"1997","unstructured":"Scheultz, T.W.: TETRATOX: The Tetrahymena Pyriformis Population Growth Impairment Endpoint \u2013 A Surrogate for Fish Lethality. Toxicol. Methods\u00a07, 289\u2013309 (1997)","journal-title":"Toxicol. Methods"},{"key":"44_CR14","first-page":"329","volume-title":"Quantitative Structure-Activity Relationships in Environmental Sciences \u2013 VII","author":"T.W. Schultz","year":"1997","unstructured":"Schultz, T.W., Sinks, G.D., Cronin, M.T.D.: Identification of Mechanisms of Toxic Action of Phenols to Tetrahymena Pyriformis from Molecular Descriptors. In: Chen, F., Schuurmann, G. (eds.) Quantitative Structure-Activity Relationships in Environmental Sciences \u2013 VII, pp. 329\u2013342. SETAC Press, Presacola (1997)"},{"key":"44_CR15","first-page":"1","volume":"6-1","author":"D.R. Wilson","year":"1997","unstructured":"Wilson, D.R., Martinez, T.R.: Improved Heterogeneous Distance Functions. Journal of Artificial Intelligence Research (JAIR)\u00a06-1, 1\u201334 (1997)","journal-title":"Journal of Artificial Intelligence Research (JAIR)"},{"key":"44_CR16","volume-title":"Data Mining: Practical Machine Learning Tools with Java Implementations","author":"I.H. Witten","year":"2000","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools with Java Implementations. Morgan Kaufmann, San Francisco (2000)"},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Biesiada, J., Duch, W.: Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-based Filter. In: Proc. of CORES 2005, the 4th International Conference on Computer Recognition Systems (2005)","DOI":"10.1007\/3-540-32390-2_9"},{"issue":"4","key":"44_CR18","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/S0031-3203(01)00084-X","volume":"35","author":"M. Sebban","year":"2002","unstructured":"Sebban, M., Nock, R.: A Hybrid Filter\/Wrapper Approach of Feature Selection Using Information Theory. Pattern Recognition\u00a035(4), 835\u2013846 (2002)","journal-title":"Pattern Recognition"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11551188_44.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T19:42:28Z","timestamp":1605642148000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11551188_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540287575","9783540287582"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/11551188_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}