{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T04:11:22Z","timestamp":1748578282012,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319229140"},{"type":"electronic","value":"9783319229157"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-22915-7_10","type":"book-chapter","created":{"date-parts":[[2015,8,7]],"date-time":"2015-08-07T02:14:54Z","timestamp":1438913694000},"page":"99-109","source":"Crossref","is-referenced-by-count":2,"title":["Anonymizing Classification Data for Preserving Privacy"],"prefix":"10.1007","author":[{"given":"Sarat kr.","family":"Chettri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Borah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,8]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Pei, J., Zhang, B.: On privacy preservation against adversarial data mining. In: 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2006, pp. 501\u2013516. ACM Press, New York (2006)","DOI":"10.1145\/1150402.1150460"},{"issue":"5","key":"10_CR2","first-page":"1","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertainty, Fuzziness Knowl. Based Syst. 10(5), 1\u201314 (2002)","journal-title":"Int. J. Uncertainty, Fuzziness Knowl. Based Syst."},{"key":"10_CR3","unstructured":"Wang, K., Yu, P.S., Chakraborty, S.: Bottom-up generalization: a data mining solution to privacy protection. In: 4th IEEE International Conference on Data Mining, pp. 205\u2013216 (2004)"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Iyengar, S.V.: Transforming data to satisfy privacy constraints. In: 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 279\u2013288. ACM Press, New York (2002)","DOI":"10.1145\/775047.775089"},{"issue":"5","key":"10_CR5","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1142\/S021848850200165X","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney, L.: Achieving k-anonymity privacy protection using generalization and suppression. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 10(5), 571\u2013588 (2002). World Scientific Singapore","journal-title":"Int. J. Uncertainty Fuzziness Knowl. Based Syst."},{"key":"10_CR6","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.1002\/spe.992","volume":"40","author":"E Fayyoumi","year":"2010","unstructured":"Fayyoumi, E.: A survey on statistical disclosure control and micro-aggregation techniques for secure statistical databases. Softw. Pract. Experience 40, 1161\u20131188 (2010)","journal-title":"Softw. Pract. Experience"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Chettri, S.K., Borah, B.: MDAV2K : a variable-size microaggregation technique for privacy preservation. In: International Conference on Information Technology Convergence and Services, Bangalore, pp. 105\u2013118 (2012)","DOI":"10.5121\/csit.2012.2110"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Fung, B.C.M., Wang, K., Yu, P.S.: Top-down specialization for information and privacy preservation. In: 21st IEEE International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, pp. 205\u2013216 (2005)","DOI":"10.1109\/ICDE.2005.143"},{"issue":"5","key":"10_CR9","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/TKDE.2007.1015","volume":"19","author":"BCM Fung","year":"2007","unstructured":"Fung, B.C.M., Wang, K., Yu, P.S.: Anonymizing classification data for privacy preservation. IEEE Trans. Knowl. Data Eng. 19(5), 711\u2013725 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"10_CR10","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. Int. J. Very Large Data Bases 17(4), 789\u2013804 (2008)","journal-title":"Int. J. Very Large Data Bases"},{"key":"10_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-540-78478-4_6","volume-title":"Privacy, Security, and Trust in KDD","author":"P Sharkey","year":"2008","unstructured":"Sharkey, P., Tian, H., Zhang, W., Xu, S.: Privacy-preserving data mining through knowledge model sharing. In: Bonchi, F., Malin, B., Sayg\u0131n, Y. (eds.) PInKDD 2007. LNCS, vol. 4890, pp. 97\u2013115. Springer, Heidelberg (2008)"},{"issue":"3","key":"10_CR12","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1109\/TKDE.2009.91","volume":"22","author":"S Kisilevich","year":"2010","unstructured":"Kisilevich, S., Elovici, Y., Shapira, B., Rokach, L.: Efficient multidimensional suppression for k-anonymity. IEEE Trans. Knowl. Data Eng. 22(3), 334\u2013347 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-642-10233-2_7","volume-title":"Protecting Persons While Protecting the People","author":"S Kisilevich","year":"2009","unstructured":"Kisilevich, S., Elovici, Y., Shapira, B., Rokach, L.: kACTUS 2: privacy preserving in classification tasks using k-anonymity. In: Gal, C.S., Kantor, P.B., Lesk, M.E. (eds.) Protecting Persons While Protecting the People. LNCS, vol. 5661, pp. 63\u201381. Springer, Heidelberg (2009)"},{"key":"10_CR14","series-title":"Lecture Notes In Electrical Engineering","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/978-1-4614-6154-8_54","volume-title":"Computer Networks and Communications (NetCom)","author":"SK Chettri","year":"2013","unstructured":"Chettri, S.K., Borah, B.: An efficient microaggregation method for protecting mixed data. In: Chaki, N., Meghanathan, N., Nagamalai, D. (eds.) Computer Networks and Communications (NetCom). LNEE, vol. 131, pp. 551\u2013561. Springer, New York (2013)"},{"key":"10_CR15","unstructured":"Frank, A., Asuncion, A., Asuncion, A., Newman, D.J.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA (2010). http:\/\/mlearn.ics.uci.edu\/MLRepository.html"},{"key":"10_CR16","unstructured":"Pagliuca, D.: Some results of individual ranking method on the system of enterprise accounts annual survey. Esprit SDC Project, Deliverable MI-3\/ D (1999)"},{"issue":"4","key":"10_CR17","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s00778-006-0007-0","volume":"15","author":"J Domingo-Ferrer","year":"2006","unstructured":"Domingo-Ferrer, J., Martinez-Balleste, A., Mateo-sanz, J.M., Seb\u00e9, F.: Efficient multivariate data-oriented microaggregation. VLDB J. 15(4), 355\u2013369 (2006)","journal-title":"VLDB J."}],"container-title":["Communications in Computer and Information Science","Security in Computing and Communications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-22915-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T22:26:41Z","timestamp":1748557601000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-22915-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319229140","9783319229157"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-22915-7_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2015]]}}}