{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:25:59Z","timestamp":1725495959193},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540770169"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-77018-3_34","type":"book-chapter","created":{"date-parts":[[2007,11,26]],"date-time":"2007-11-26T07:46:39Z","timestamp":1196063199000},"page":"332-343","source":"Crossref","is-referenced-by-count":14,"title":["ODDC: Outlier Detection Using Distance Distribution Clustering"],"prefix":"10.1007","author":[{"given":"Kun","family":"Niu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junliang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Abe, N., Zadrozny, B., Langford, J.: Outlier Detection by Active Learning. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, USA (2006)","DOI":"10.1145\/1150402.1150459"},{"key":"34_CR2","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2006","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2006)","edition":"2"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Hautam\u00e4ki, V., K\u00e4rkk\u00e4inen, I., Fr\u00e4nti, P.: Outlier Detection using k-Nearest Neighbour Graph. In: Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, United Kingdom (2004)","DOI":"10.1109\/ICPR.2004.1334558"},{"key":"34_CR4","doi-asserted-by":"crossref","unstructured":"Angiulli, F., Basta, S., Pizzuti, C.: Distance-Based Detection and Prediction of Outliers. IEEE Transactions on Knowledge and Data Engineering\u00a018(2) (2006)","DOI":"10.1109\/TKDE.2006.29"},{"issue":"17","key":"34_CR5","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1109\/TKDE.2005.31","volume":"2","author":"F. Angiulli","year":"2005","unstructured":"Angiulli, F., Pizzuti, C.: Outlier Mining in Large High-Dimensional Data Sets. IEEE Transaction on Knowledge and Data Engineering\u00a02(17), 203\u2013215 (2005)","journal-title":"IEEE Transaction on Knowledge and Data Engineering"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Ren, D.M., Rahal, I., Perrizo, W., et al.: A Vertical Distance-based Outlier Detection Method with Local Pruning. In: Proceedings of the 13th Conference on Information and Knowledge Management, Washington, D.C., USA (2004)","DOI":"10.1145\/1031171.1031232"},{"key":"34_CR7","unstructured":"Knorr, E.M., Ng, R.T.: A Unified Notion of Outliers: Properties and Computation. In: Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining Proceedings, pp. 219\u2013222 (1997)"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Breunig, M.M., Kriegel, H., Ng, R.T., et al.: LOF: Identifying Density-Based Local Outliers. In: Proceedings of ACM SIGMOD International Conference on Management of Data, Dalles, TX, pp. 93\u2013104 (2000)","DOI":"10.1145\/342009.335388"},{"key":"34_CR9","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":"34_CR10","doi-asserted-by":"crossref","unstructured":"Lazarevic, A., Kumar, V.: Feature Bagging for Outlier Detection. In: Proceedings of the ACM SIGMOD International Conference on Knowledge Discovery and Data Mining, Chicago, USA (2005)","DOI":"10.1145\/1081870.1081891"},{"key":"34_CR11","unstructured":"Merz, C., Murphy, P., Aha, D.: UCI Repository of Machine Learning Databases. At, http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Zhu, C., Kitagawa, H., Papadimitriou, S., et al.: OBE: Outlier by Example. In: Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Sydney, Australia, pp. 222\u2013234 (2004)","DOI":"10.1007\/978-3-540-24775-3_29"},{"key":"34_CR13","unstructured":"Johnson, T., Kwok, I., Ng, R.T.: Fast computation of 2-dimensional depth contours. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, USA, pp. 224\u2013228 (1998)"}],"container-title":["Lecture Notes in Computer Science","Emerging Technologies in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-77018-3_34.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:53:35Z","timestamp":1619520815000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-77018-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540770169"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-77018-3_34","relation":{},"subject":[]}}