{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:25:54Z","timestamp":1725495954143},"publisher-location":"Berlin, Heidelberg","reference-count":17,"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_29","type":"book-chapter","created":{"date-parts":[[2007,11,26]],"date-time":"2007-11-26T07:46:39Z","timestamp":1196063199000},"page":"280-291","source":"Crossref","is-referenced-by-count":11,"title":["Efficient Privacy Preserving Distributed Clustering Based on Secret Sharing"],"prefix":"10.1007","author":[{"given":"Selim V.","family":"Kaya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas B.","family":"Pedersen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erkay","family":"Sava\u015f","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y\u00fccel","family":"Sayg\u0131\u00fdn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"29_CR1","first-page":"95","volume-title":"Privacy Preserving Clustering on Horizontally Partitioned Data","author":"A. Inan","year":"2006","unstructured":"Inan, A., Sayg\u0131n, Y., Sava\u015f, E., Hinto\u011flu, A.A., Levi, A.: Privacy preserving clustering on horizontally partitioned data. In: Privacy Preserving Clustering on Horizontally Partitioned Data, p. 95. IEEE Computer Society, Los Alamitos (2006)"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1145\/342009.335438","volume-title":"SIGMOD 2000","author":"R. Agrawal","year":"2000","unstructured":"Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: SIGMOD 2000. Proceedings of the 2000 ACM SIGMOD international conference on Management of data, pp. 439\u2013450. ACM Press, New York (2000)"},{"key":"29_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/3-540-44598-6_3","volume-title":"Advances in Cryptology - CRYPTO 2000","author":"Y. Lindell","year":"2000","unstructured":"Lindell, Y., Pinkas, B.: Privacy preserving data mining. In: Bellare, M. (ed.) CRYPTO 2000. LNCS, vol.\u00a01880, pp. 36\u201354. Springer, Heidelberg (2000)"},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1145\/773153.773174","volume-title":"PODS 2003","author":"A. Evfimievski","year":"2003","unstructured":"Evfimievski, A., Gehrke, J., Srikant, R.: Limiting privacy breaches in privacy preserving data mining. In: PODS 2003. Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp. 211\u2013222. ACM Press, New York (2003)"},{"issue":"4","key":"29_CR5","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.is.2003.09.001","volume":"29","author":"A. Evfimievski","year":"2004","unstructured":"Evfimievski, A., Srikant, R., Agarwal, R., Gehrke, J.: Privacy preserving mining of association rules. Inf. Syst.\u00a029(4), 343\u2013364 (2004)","journal-title":"Inf. Syst."},{"issue":"4","key":"29_CR6","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s10115-004-0173-6","volume":"7","author":"H. Kargupta","year":"2005","unstructured":"Kargupta, H., Datta, S., Wang, Q., Sivakumar, K.: Random-data perturbation techniques and privacy-preserving data mining. Knowl. Inf. Syst.\u00a07(4), 387\u2013414 (2005)","journal-title":"Knowl. Inf. Syst."},{"issue":"4","key":"29_CR7","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1145\/604264.604271","volume":"30","author":"Y. Saygin","year":"2001","unstructured":"Saygin, Y., Verykios, V.S., Clifton, C.: Using unknowns to prevent discovery of association rules. SIGMOD Rec.\u00a030(4), 45\u201354 (2001)","journal-title":"SIGMOD Rec."},{"issue":"9","key":"29_CR8","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1109\/TKDE.2004.45","volume":"16","author":"M. Kantarc\u0131o\u011flu","year":"2004","unstructured":"Kantarc\u0131o\u011flu, M., Clifton, C.: Privacy-preserving distributed mining of association rules on horizontally partitioned data. IEEE Transactions on Knowledge and Data Engineering\u00a016(9), 1026\u20131037 (2004)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"29_CR9","unstructured":"Oliveira, S., Zaiane, O.R.: Privacy preserving clustering by data transformation. In: 18th Brazilian Symposium on Databasesn, pp. 304\u2013318 (2003)"},{"key":"29_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/978-3-540-30073-1_6","volume-title":"Secure Data Management","author":"S. Oliveira","year":"2004","unstructured":"Oliveira, S., Zaiane, O.R.: Achieving privacy preservation when sharing data for clustering. In: Jonker, W., Petkovi\u0107, M. (eds.) SDM 2004. LNCS, vol.\u00a03178, pp. 67\u201382. Springer, Heidelberg (2004)"},{"key":"29_CR11","unstructured":"Oliveira, S., Zaiane, O.R.: Privacy-preserving clustering by object similarity-based representation and dimensionality reduction transformation. In: Workshop on Privacy and Security Aspects of Data Mining (PSDM 2004) in conjunction with the Fourth IEEE International Conference on Data Mining (ICDM 2004), pp. 21\u201330 (2004)"},{"key":"29_CR12","first-page":"211","volume-title":"ICDM 2003","author":"S. Merugu","year":"2003","unstructured":"Merugu, S., Ghosh, J.: Privacy-preserving distributed clustering using generative models. In: ICDM 2003. Proceedings of the Third IEEE International Conference on Data Mining, Washington, DC, USA, pp. 211\u2013218. IEEE Computer Society, Los Alamitos (2003)"},{"key":"29_CR13","unstructured":"Klusch, M., Lodi, S., Moro, G.: Distributed clustering based on sampling local density estimates. In: IJCAI 2003. Proceedings of the 18th International Joint Conference on Artificial Intelligence, pp. 485\u2013490. AAAI Press (2003)"},{"key":"29_CR14","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1145\/956750.956776","volume-title":"KDD 2003","author":"J. Vaidya","year":"2003","unstructured":"Vaidya, J., Clifton, C.: Privacy-preserving k-means clustering over vertically partitioned data. In: KDD 2003. Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 206\u2013215. ACM Press, New York (2003)"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Jha, S., Kruger, L.P.M.: Privacy preserving clustering. In: ESORICS\u201905:10th European Symposium On Research In Computer Security, pp. 397\u2013417 (2005)","DOI":"10.1007\/11555827_23"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Asmuth, C., Bloom, J.: A modular approach to key safeguarding. IEEE Transactions on Information Theory 29(2) (1983)","DOI":"10.1109\/TIT.1983.1056651"},{"issue":"11","key":"29_CR17","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1145\/359168.359176","volume":"22","author":"A. Shamir","year":"1979","unstructured":"Shamir, A.: How to share a secret. Communications of the ACM\u00a022(11), 612\u2013613 (1979)","journal-title":"Communications of the ACM"}],"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_29.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:53:33Z","timestamp":1619520813000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-77018-3_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540770169"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-77018-3_29","relation":{},"subject":[]}}