{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T04:59:22Z","timestamp":1725512362128},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540681243"},{"type":"electronic","value":"9783540681250"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-68125-0_6","type":"book-chapter","created":{"date-parts":[[2008,5,10]],"date-time":"2008-05-10T03:40:05Z","timestamp":1210390805000},"page":"40-52","source":"Crossref","is-referenced-by-count":1,"title":["SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters"],"prefix":"10.1007","author":[{"given":"Ira","family":"Assent","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralph","family":"Krieger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petra","family":"Welter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00f6rg","family":"Herbers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Seidl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications. In: Proceedings of ACM SIGMOD International Conference on Management of Data, pp. 94\u2013105 (1998)","DOI":"10.1145\/276305.276314"},{"key":"6_CR2","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of International Conference on Very Large Databases (VLDB), pp. 487\u2013499 (1994)"},{"issue":"1","key":"6_CR3","first-page":"37","volume":"6","author":"D. Aha","year":"1991","unstructured":"Aha, D., Kibler, D., Albert, M.: Instance-based learning algorithms. Machine Learning\u00a06(1), 37\u201366 (1991)","journal-title":"Machine Learning"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Assent, I., Krieger, R., Glavic, B., Seidl, T.: Spatial multidimensional sequence clustering. In: Proceedings of International Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM), conjunction with IEEE International Conference on Data Mining (ICDM) (2006)","DOI":"10.1109\/ICDMW.2006.153"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Assent, I., Krieger, R., M\u00fcller, E., Seidl, T.: DUSC: Dimensionality unbiased subspace clustering. In: Proceedings of IEEE International Conference on Data Mining (ICDM) (2007)","DOI":"10.1109\/ICDM.2007.49"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/S0377-2217(98)00375-0","volume":"120","author":"A. Bolat","year":"2000","unstructured":"Bolat, A.: Procedures for providing robust gate assignments for arriving aircrafts. European Journal of Operational Research\u00a0120, 63\u201380 (2000)","journal-title":"European Journal of Operational Research"},{"key":"6_CR7","unstructured":"Bureau of Transportation Statistics. Airline on-time performance data, http:\/\/www.transtats.bts.gov"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Cheng, C., Fu, A., Zhang, Y.: Entropy-based subspace clustering for mining numerical data. In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 84\u201393 (1999)","DOI":"10.1145\/312129.312199"},{"issue":"9","key":"6_CR9","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1109\/TPAMI.2002.1033219","volume":"24","author":"C. Domeniconi","year":"2002","unstructured":"Domeniconi, C., Peng, J., Gunopulos, D.: Locally adaptive metric nearest-neighbor classification. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a024(9), 1281\u20131285 (2002)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"6_CR10","volume-title":"Pattern Classification","author":"R. Duda","year":"2000","unstructured":"Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd edn. Wiley, Chichester (2000)","edition":"2"},{"key":"6_CR11","unstructured":"Eurocontrol Central Office for Delay Analysis. Delays to air transport in europe, http:\/\/www.eurocontrol.int\/eCoda"},{"key":"6_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3982-4","volume-title":"Entropy and Information Theory","author":"R. Gray","year":"1990","unstructured":"Gray, R.: Entropy and Information Theory. Springer, Heidelberg (1990)"},{"key":"6_CR13","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2001","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)"},{"key":"6_CR14","volume-title":"The uci kdd archive","author":"S. Hettich","year":"1999","unstructured":"Hettich, S., Bay, S.: The uci kdd archive. University of California, Department of Information and Computer Science, Irvine, CA (1999), http:\/\/kdd.ics.uci.edu"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Kailing, K., Kriegel, H.-P., Kr\u00f6ger, P.: Density-connected subspace clustering for high-dimensional data. In: Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 246\u2013257 (2004)","DOI":"10.1137\/1.9781611972740.23"},{"key":"6_CR16","unstructured":"Li, W., Han, J., Pei, J.: CMAR: accurate and efficient classification based on multipleclass-association rules. In: Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 369\u2013376 (2001)"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Platt, J.: Fast training of support vector machines using sequential minimal optimization. In: Schoelkopf, Burges, Smola (eds.) Advances in Kernel Methods, MIT Press, Cambridge (1998)","DOI":"10.7551\/mitpress\/1130.003.0016"},{"key":"6_CR18","unstructured":"Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1992)"},{"key":"6_CR19","volume-title":"The Mathematical Theory of Communication","author":"C. Shannon","year":"1949","unstructured":"Shannon, C., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press, Urbana, Illinois (1949)"},{"key":"6_CR20","unstructured":"Silva, L., de Sa, J.M., Alexandre, L.: Neural network classification using shannon\u2019s entropy. In: Proceedings of European Symposium on Artificial Neural Networks (ESANN) (2005)"},{"key":"6_CR21","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1007\/11564126_74","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"T. Washio","year":"2005","unstructured":"Washio, T., Nakanishi, K., Motoda, H.: Deriving Class Association Rules Based on Levelwise Subspace Clustering. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, pp. 692\u2013700. Springer, Heidelberg (2005)"},{"key":"6_CR22","unstructured":"Zhu, X.: Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison (2005)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-68125-0_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T03:14:58Z","timestamp":1684379698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-68125-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540681243","9783540681250"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-68125-0_6","relation":{},"subject":[]}}