{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,13]],"date-time":"2026-11-13T15:28:07Z","timestamp":1794583687849,"version":"4.9.1"},"publisher-location":"New York, NY","reference-count":11,"publisher":"Springer New York","isbn-type":[{"value":"9781461482666","type":"print"},{"value":"9781461482659","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","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":[[2018]]},"DOI":"10.1007\/978-1-4614-8265-9_1391","type":"book-chapter","created":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T08:00:39Z","timestamp":1544083239000},"page":"1721-1723","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Horizontally Partitioned Data"],"prefix":"10.1007","author":[{"given":"Murat","family":"Kantarc\u0131o\u011flu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,12,7]]},"reference":[{"key":"1391_CR8106","doi-asserted-by":"crossref","unstructured":"Agrawal R, Srikant R.. Privacy-preserving data mining. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000. p. 439\u201350.","DOI":"10.1145\/342009.335438"},{"key":"1391_CR8107","unstructured":"Clifton C, Marks D. Security and privacy implications of data mining. In: Proceedings of the Workshop on Data Mining and Knowledge Discovery; 1996. p. 15\u20139."},{"issue":"4","key":"1391_CR8108","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1007\/s00778-006-0039-5","volume":"17","author":"A Friedman","year":"2008","unstructured":"Friedman A, Wolff R, Schuster A. Providing k-anonymity in data mining. VLDB J. 2008;17(4):789\u2013804.","journal-title":"VLDB J"},{"key":"1391_CR8109","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2000","unstructured":"Han J, Kamber M. Data mining: concepts and techniques. San Francisco: Morgan Kaufmann; 2000."},{"key":"1391_CR8110","doi-asserted-by":"crossref","unstructured":"Jagannathan G, Wright R.N. Privacy-preserving distributed k-means clustering over arbitrarily partitioned data. In: Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2005. p. 593\u20139.","DOI":"10.1145\/1081870.1081942"},{"key":"1391_CR8111","unstructured":"Kantarcioglu M, Vaidya J. Privacy preserving naive bayes classifier for horizontally partitioned data. In: Proceedings of the Workshop on Privacy Preserving Data Mining; 2003."},{"key":"1391_CR8112","first-page":"279","volume-title":"Lecture Notes in Computer Science","author":"Murat Kantarc\u0131o\u01e7lu","year":"2004","unstructured":"Kantarc\u0131o\u011flu M, Clifton C. Privately computing a distributed k-nn classifier. In: Proceedings of the 8th European Conference on Principles of Data Mining And Knowledge Discovery; 2004. p. 279\u20130."},{"key":"1391_CR8113","doi-asserted-by":"crossref","unstructured":"Kantarc\u0131o\u011flu M, Jin J, Clifton C. When do data mining results violate privacy? In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2004; p. 599\u2013604.","DOI":"10.1145\/1014052.1014126"},{"issue":"1","key":"1391_CR8114","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/s10115-004-0148-7","volume":"8","author":"X Lin","year":"2005","unstructured":"Lin X, Clifton C, Zhu M. Privacy preserving clustering with distributed EM mixture modeling. Knowl Inform Syst. 2005;8(1):68\u201381.","journal-title":"Knowl Inform Syst"},{"key":"1391_CR8115","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/3-540-44598-6_3","volume-title":"Advances in Cryptology \u2014 CRYPTO 2000","author":"Yehuda Lindell","year":"2000","unstructured":"Lindell Y, Pinkas B. Privacy preserving data mining. In: Advances in Cryptology: Proceedings of the 20th Annual International Cryptology Conference; 2000. p. 36\u201354."},{"key":"1391_CR8116","doi-asserted-by":"crossref","unstructured":"Yu H, Jiang X, Vaidya J. Privacy-preserving svm using nonlinear kernels on horizontally partitioned data. In: Proceedings of the 2006 ACM Symposium on Applied Computing; 2006. p. 603\u201310.","DOI":"10.1145\/1141277.1141415"}],"container-title":["Encyclopedia of Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4614-8265-9_1391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T06:06:43Z","timestamp":1792130803000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/chapter\/10.1007\/978-1-4614-8265-9_1391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9781461482666","9781461482659"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-1-4614-8265-9_1391","relation":{"is-part-of":[{"id-type":"doi","id":"https:\/\/doi.org\/10.1007\/978-1-4614-8265-9","asserted-by":"object"}]},"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"7 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}