{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:10:15Z","timestamp":1743142215435,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811631498"},{"type":"electronic","value":"9789811631504"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-3150-4_18","type":"book-chapter","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T12:03:10Z","timestamp":1624276990000},"page":"204-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Incremental Anonymous Privacy-Protecting Data Mining Method Based on Feature Correlation Algorithm"],"prefix":"10.1007","author":[{"given":"Yongliang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dapeng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Samarati, P., Sweeney, L.: Generalizing data to provide anonymity when disclosing information. In: Proceedings of the Seventeenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, p. 188 (1998)","DOI":"10.1145\/275487.275508"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Li, J., Ooi, B.C., Wang, W.: Anonymizing Streaming Data for Privacy Protection (2008)","DOI":"10.1109\/ICDE.2008.4497558"},{"key":"18_CR3","unstructured":"Wang, W., Li, J.: Privacy protection on sliding window of data streams, Collaborative Computing: Networking, Applications and Worksharing, 12\u201315 November 2012, pp. 213\u2013221 (2012)"},{"issue":"9","key":"18_CR4","first-page":"218","volume":"4","author":"J Zhang","year":"2012","unstructured":"Zhang, J., Jing, Y., Zhang, J., et al.: An improved RSLK-anonymity algorithm for privacy protection of data stream. Int. J. Adv. Comput. Technol. 4(9), 218\u2013225 (2012)","journal-title":"Int. J. Adv. Comput. Technol."},{"issue":"3","key":"18_CR5","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1109\/TDSC.2009.47","volume":"8","author":"J Cao","year":"2011","unstructured":"Cao, J., Carminati, B., Ferrari, E., et al.: CASTLE: continuously anonymizing data streams. IEEE Trans. Dependable Secure Comput. 8(3), 337\u2013352 (2011)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Cao, J., Carminati, B., Ferrari, E., et al.: CASTLE: A delay-constrained scheme for ks-anonymizing data streams. In: IEEE International Conference on Data Engineering. IEEE (2008)","DOI":"10.1109\/ICDE.2008.4497561"},{"key":"18_CR7","doi-asserted-by":"publisher","unstructured":"Zakerzadeh, H., Osborn, S.L.: FAANST: fast anonymizing algorithm for numerical streaming DaTa. In: Garcia-Alfaro, J., Navarro-Arribas, G., Cavalli, A., Leneutre, J. (eds.) Data Privacy Management and Autonomous Spontaneous Security. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19348-4_4","DOI":"10.1007\/978-3-642-19348-4_4"},{"key":"18_CR8","unstructured":"Yang, G., Yang, J., Zhang, J., et al.: Research on data streams publishing of privacy preserving. In: IEEE International Conference on Information Theory & Information Security. IEEE (2015)"},{"key":"18_CR9","unstructured":"Ren, X., Yang, et al.: Research on CBK (L, K)-anonymity algorithm. Int. J. Adv. Comput. Technol. (2011)"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Machanavajjhala, A., Gehrke, J., Kifer, D., et al.: \u2113-diversity: Privacy beyond k-anonymity. In: Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, 3\u20138 April 2006, Atlanta, GA, USA. IEEE (2006)","DOI":"10.1109\/ICDE.2006.1"},{"key":"18_CR11","unstructured":"Sun, X., Wang, H., Li, J., et al.: (p+, \u03b1)-sensitive k-anonymity: a new enhanced privacy protection model. In: IEEE International Conference on Computer & Information Technology. IEEE (2014)"},{"key":"18_CR12","unstructured":"Tai-Yong, L.I., Chang-Jie, T., Jiang, W.U., et al.: k-anonymity via twice clustering for privacy preservation. J. Jilin Univ. 27(02) (2009)"},{"issue":"001","key":"18_CR13","first-page":"13","volume":"047","author":"X Chen","year":"2015","unstructured":"Chen, X., Wu, X., Wang, W., et al.: An improved initial cluster centers selection algorithm for K-means based on features correlative degree. Adv. Eng. Sci. 047(001), 13\u201319 (2015)","journal-title":"Adv. Eng. Sci."},{"key":"18_CR14","unstructured":"Hong-Wei, L., Guo-Hua, L.: (L, K)-anonymity based on clustering. J. Yanshan Univ. (2007)"},{"key":"18_CR15","unstructured":"Chen, C.Y., Li, S.A., et al.: A clustering-based algorithm to extracting fuzzy rules for system modeling. Int. J. Adv. Comput. Technol. (2016)"}],"container-title":["Communications in Computer and Information Science","Big Data and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-3150-4_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T12:12:37Z","timestamp":1624277557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-3150-4_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811631498","9789811631504"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-3150-4_18","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICBDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icbds2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icbds.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"153","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}