Privacy-Preserving Hybrid K-Means

Publisher： IGI Global_journal

E-ISSN： 1548-3932|14|2|1-17

ISSN： 1548-3924

Source： International Journal of Data Warehousing and Mining (IJDWM), Vol.14, Iss.2, 2018-04, pp. : 1-17

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Privacy-Preserving Outsourced Similarity Search

By  

Journal of Database Management (JDM), Vol. 25, Iss. 3, 2014-07 ,pp. : 48-71

IGI Global_journal

Access to resources Recommend Favorite

Privacy-Preserving Data Mining: Development and Directions

By  

Journal of Database Management (JDM), Vol. 16, Iss. 1, 2005-01 ,pp. : 75-87

IGI Global_journal

Access to resources Recommend Favorite

A Novel Hybrid Algorithm Based on K-Means and Evolutionary Computations for Real Time Clustering

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 10, Iss. 3, 2014-07 ,pp. : 1-14

IGI Global_journal

Access to resources Recommend Favorite

Multi-Attribute Utility Theory Based K-Means Clustering Applications

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 13, Iss. 2, 2017-04 ,pp. : 1-12

IGI Global_journal

Access to resources Recommend Favorite

Preserving Privacy in Time Series Data Mining

By  

International Journal of Data Warehousing and Mining (IJDWM), Vol. 7, Iss. 4, 2011-10 ,pp. : 64-85

IGI Global_journal

Access to resources Recommend Favorite