This study investigates existing input privacy-preserving data mining (PPDM) methods and
privacy-preserving data stream mining methods (PPDSM), including their strengths and …

抄録< jats: p> Data mining system contain large amount of private and sensitive data such
as healthcare, financial and criminal records. These private and sensitive data can not be …

Data mining system deals with huge volume of information which may include personal and
sensitive information about the individuals such as bank credential details, financial records …

Background: Big data analytics is the process of utilizing a collection of data accompanied
on the internet to store and retrieve anywhere and at any time. Big data is not simply a data …

Data is humongous today because of the extensive use of World Wide Web, Social Media
and Intelligent Systems. This data can be very important and useful if it is harnessed …

The aim of data mining is to extract useful information from huge source of multiple data. But
during the process of data mining, intentionally or unintentionally the data becomes visible …

Data mining plays a vital role today for decision making and analysis in education, health
care, business and more. It is very important to protect the data before the mining process …

Privacy preserving data mining has much importance in the data analysis because it
maintains confidential or highly sensitive data in the purpose of data analysis. Many …

Data mining is a technique used to extract un-known patterns from large volume of data.
Privacy has be-come a major concern in data mining. The data which are stored in the …

Data mining system contain large amount of private and confidential information such as
healthcare, financial and criminal records. This confidential information cannot be share to …