Secure Web Data Analysis in Vertical Partitioned Database

Abstract

Data mining is to extract or mine data from large amounts of database. However, data is often collected by several different sites. Among these, association rule mining has wide applications to discover interesting relationships among attributes. In many organizations the database may exist in centralized or in distributed environment. In distributed environment, database may be partitioned in different ways such as horizontally partitioned, vertically partitioned and mixed mode. The paper presents privacy preserving data mining algorithms operating over vertically partitioned data. In this paper, we represent the communication among the sites and data transformation between these sites with the help of algorithm in distributed environment.

Keywords— Data Mining; Distributed Database; Privacy preserving protocols; Negative Association rules mining; Web Database.