{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:53:36Z","timestamp":1725490416675},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540749752"},{"type":"electronic","value":"9783540749769"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-74976-9_53","type":"book-chapter","created":{"date-parts":[[2007,8,29]],"date-time":"2007-08-29T10:52:35Z","timestamp":1188384755000},"page":"515-522","source":"Crossref","is-referenced-by-count":17,"title":["Providing Na\u00efve Bayesian Classifier-Based Private Recommendations on Partitioned Data"],"prefix":"10.1007","author":[{"given":"Cihan","family":"Kaleli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huseyin","family":"Polat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"53_CR1","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 43\u201352, Madison, WI, USA (July 1998)"},{"key":"53_CR2","unstructured":"Gupta, D., Digiovanni, M., Narita, H., Goldberg, K.: Jester 2.0: A new linear-time collaborative ltering algorithm applied to jokes. In: Proceedings of the Workshop on Recommender Systems: Algorithms and Evaluation, 22nd Annual International ACM SIGIR Conference, Berkeley, CA, USA (August 1999)"},{"issue":"9","key":"53_CR3","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1109\/TKDE.2004.45","volume":"16","author":"M. Kantarcioglu","year":"2004","unstructured":"Kantarcioglu, M., Clifton, C.: Privacy-preserving distributed mining of associa- tion rules on horizontally partitioned data. Transactions on Knowledge and Data Engineering\u00a016(9), 1026\u20131037 (2004)","journal-title":"Transactions on Knowledge and Data Engineering"},{"key":"53_CR4","unstructured":"Kantarcioglu, M., Vaidya, J.S.: Privacy-preserving naive Bayes classifier for horizontally partitioned data. In: Proceedings of the IEEE ICDM Workshop on PPDM, pp. 3-9, Melbourne, FL, USA (November 19-22, 2003)"},{"key":"53_CR5","unstructured":"Miyahara, K., Pazzani, M.J.: Improvement of collaborative filtering with the simple Bayesian classifier. IPSJ Journal\u00a043(11) (2002)"},{"key":"53_CR6","unstructured":"Pennock, D.M., Horvitz, E., Lawrence, S., Giles, C.L.: Collaborative filter ing by personality diagnosis: A hybrid memory- and model-based approach. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, pp. 473\u2013480, Stanford, CA, USA, June 30-July 3 (2000)"},{"key":"53_CR7","unstructured":"Polat, H., Du, W.: Privacy-preserving collaborative filtering on vertically par- titioned data. In: Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal (October 3-7, 2005)"},{"key":"53_CR8","doi-asserted-by":"crossref","unstructured":"Polat, H., Du, W.: Privacy-preserving top-N recommendation on horizontally partitioned data. In: Proceedings of the 2005 IEEE\/WIC\/ACM International Con- ference on Web Intelligence, Paris, France (September 19\u201322, 2005)","DOI":"10.1109\/WI.2005.117"},{"key":"53_CR9","doi-asserted-by":"crossref","unstructured":"Vaidya, J.S., Clifton, C.: Privacy-preserving association rule mining in vertically partitioned data. In: Proceedings of the 8th International ACM SIGKDD Conference, pp. 639\u2013644 (July 23-26, 2002)","DOI":"10.1145\/775047.775142"},{"key":"53_CR10","doi-asserted-by":"crossref","unstructured":"Vaidya, J.S., Clifton, C.: Privacy-preserving k-means clustering over vertically partitioned data. In: Proceedings of the 2004 SIAM Conference on Data Mining, Lake Buena Vista, FL, USA (April 22\u201324, 2003)","DOI":"10.1145\/956750.956776"},{"key":"53_CR11","unstructured":"Vaidya, J.S., Clifton, C.: Privacy-preserving na\u00cfve Bayes classier for vertically partitioned data. In: Proceedings of the 9th International ACM SIGKDD Confer- ence, pp. 206\u2013215, Washington, DC, USA (August 24-27, 2003)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Discovery in Databases: PKDD 2007"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-74976-9_53.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:50:22Z","timestamp":1619520622000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-74976-9_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540749752","9783540749769"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-74976-9_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}