{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:38Z","timestamp":1740099158518,"version":"3.37.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030000080"},{"type":"electronic","value":"9783030000097"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00009-7_56","type":"book-chapter","created":{"date-parts":[[2018,9,20]],"date-time":"2018-09-20T17:20:42Z","timestamp":1537464042000},"page":"622-632","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Clustering Algorithm for Privacy Preservation on MapReduce"],"prefix":"10.1007","author":[{"given":"Zheng","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyu","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,21]]},"reference":[{"key":"56_CR1","doi-asserted-by":"crossref","unstructured":"Blum, A., Dwork, C., Mcsherry, F., et al.: Practical privacy: the SuLQ framework. In: Proceedings of the 24th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 128\u2013138. ACM, New Work (2005)","DOI":"10.1145\/1065167.1065184"},{"key":"56_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11787006_1","volume-title":"Automata, Languages and Programming","author":"C Dwork","year":"2006","unstructured":"Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1\u201312. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11787006_1"},{"issue":"1","key":"56_CR3","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1145\/1866739.1866758","volume":"54","author":"C Dwork","year":"2011","unstructured":"Dwork, C.: A firm foundation for private data analysis. Commun. ACM 54(1), 86\u201395 (2011)","journal-title":"Commun. ACM"},{"issue":"1","key":"56_CR4","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan, J.A., Wong, M.A.: A K-means clustering algorithm. J. Roy. Stat. Soc. Ser. C. Appl. Stat. 28(1), 100\u2013108 (1979)","journal-title":"J. Roy. Stat. Soc. Ser. C. Appl. Stat."},{"key":"56_CR5","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.swevo.2012.02.003","volume":"6","author":"A Hatamlou","year":"2012","unstructured":"Hatamlou, A., Abdullah, S., Nezamabadi-pour, H.: A combined approach for clustering bases on K-means and gravitational search algorithm. Swarm. Evol. Comput. 6, 47\u201352 (2012)","journal-title":"Swarm. Evol. Comput."},{"key":"56_CR6","volume-title":"Understanding Big Data Processing and Programming","author":"YH Hua","year":"2014","unstructured":"Hua, Y.H., Miao, K.X.: Understanding Big Data Processing and Programming, 1st edn. China Machine Press, Beijing (2014)","edition":"1"},{"issue":"3","key":"56_CR7","first-page":"287","volume":"40","author":"Y Li","year":"2013","unstructured":"Li, Y., Hao, Z.F., Wen, W., Xie, G.Q.: Research on differential privacy preserving K-means clustering. Comput. Sci. 40(3), 287\u2013290 (2013)","journal-title":"Comput. Sci."},{"key":"56_CR8","doi-asserted-by":"crossref","unstructured":"Mccallum, A., Nigam, K., Ungar, L.H.: Efficient clustering of high-dimensional data sets with application to reference matching. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 169\u2013178. ACM, New York (2000)","DOI":"10.1145\/347090.347123"},{"issue":"99","key":"56_CR9","doi-asserted-by":"crossref","first-page":"10562","DOI":"10.1109\/ACCESS.2017.2706947","volume":"5","author":"R Mendes","year":"2017","unstructured":"Mendes, R., Vilela, J.P.: Privacy-preserving data mining: methods, metrics, and applications. IEEE Access 5(99), 10562\u201310582 (2017)","journal-title":"IEEE Access"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Nissim, K., Raskhodnikova, S., Smith, A.: Smooth sensitivity and sampling in private data analysis. In: Proceedings of the 39th Annual ACM Symposium on Theory of Computing, pp. 75\u201384. ACM, New York (2007)","DOI":"10.1145\/1250790.1250803"},{"issue":"4","key":"56_CR11","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.protcy.2012.05.061","volume":"4","author":"D Reddy","year":"2012","unstructured":"Reddy, D., Jana, P.K.: Initialization for K-means clustering using Voronoi diagram. Procedia Technol. 4(4), 395\u2013400 (2012)","journal-title":"Procedia Technol."},{"key":"56_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/978-3-319-69471-9_14","volume-title":"Cyberspace Safety and Security","author":"T Shang","year":"2017","unstructured":"Shang, T., Zhao, Z., Guan, Z., Liu, J.: A DP canopy K-means algorithm for privacy preservation of hadoop platform. In: Wen, S., Wu, W., Castiglione, A. (eds.) CSS 2017. LNCS, vol. 10581, pp. 189\u2013198. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69471-9_14"},{"issue":"1","key":"56_CR13","first-page":"101","volume":"37","author":"P Xiong","year":"2014","unstructured":"Xiong, P., Zhu, T.Q., Wang, X.F.: A survey on differential privacy and applications. Chin. J. Comput. 37(1), 101\u2013122 (2014)","journal-title":"Chin. J. Comput."},{"issue":"5","key":"56_CR14","first-page":"715","volume":"10","author":"WJ Zhang","year":"2006","unstructured":"Zhang, W.J., Gu, X.F., Chen, L.F.: A K-means initial clustering center selection algorithm based on mean-standard deviation. J. Remote Sens. 10(5), 715\u2013721 (2006)","journal-title":"J. Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Cloud Computing and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00009-7_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,24]],"date-time":"2019-10-24T09:47:11Z","timestamp":1571910431000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00009-7_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030000080","9783030000097"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00009-7_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICCCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cloud Computing and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"incodldos2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icccsconf.org\/icccs2018.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}