Title :
Research on Privacy Preserving Data in Web Log Mining
Author :
Chang-bin Jiang ; Li Chen
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol. WHUT, Wuhan, China
Abstract :
Researches on preserving private data in the application of web data mining possess practical value. Through introducing basic concepts of web log mining and private data protection, this paper analyzes the status quo of privacy preservation in web log mining, and then it puts forward privacy preserving mining model based on evolutionary algorithm of cloud model, combining with evolutionary algorithm and cloud model theory. This model utilizes digital features of cloud and transformation between its qualitative concept and quantitative value expression. Thus, this model effectively conceals sensitive data, realizes web log mining based on privacy preservation. Results of the experiment reveal the feasibility and superiority of applying evolutionary algorithm of cloud model to privacy preservation in web log mining.
Keywords :
Internet; data mining; data privacy; evolutionary computation; security of data; Web data mining; Web log mining; cloud model; evolutionary algorithm; privacy preserving mining model; private data protection; Clouds; Data mining; Data preprocessing; Data privacy; Electronic mail; Entropy; Evolutionary computation; Protection; Technology management; Web server;
Conference_Titel :
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-1-4244-6972-7
Electronic_ISBN :
978-1-4244-6974-1
DOI :
10.1109/IEEC.2010.5533261