Year: 2012
Type: article
Abstract: Extraction Transformation Load plays an important phase in development of data warehouse due its complexity of selecting data from different location and having different structures.The recent industry of data warehouse is driven by Privacy Preserving Data Mining which ensures privacy of sensitive information during Mining and is a requirement of most Data Bases.Current approaches to modelling extraction transformation load do not include privacy representation in Conceptual Modelling.This paper proposes object-oriented approach to model Extraction Transformation Load embedding privacy preservation.The major components of extraction include Data Source, Source Identifier, Retrieval, Join, Privacy Preserving Area and Data Staging Area.
DOI: 10.5120/7772-0854
Authors: Kiran P, S Sathish Kumar, Kavya N P
Institution: Visvesvaraya Technological University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2162500406
