Abstract—Extraction transformation load is an important stage of a data warehouse process. It involves retrieval of information from multiple sources, applying transformation to map with the schema of the data warehouse. Privacy preserving data mining has become a prerequisite for all the present data warehouse projects. In this paper we provide a foundation on embedding privacy to conceptual modeling by indicating additional notations which ensures faster design.
Index Terms—ETL, Data Warehouse, PPDM, Conceptual Modeling
S. Sathish Kumar is with the MGR University, Chennai, Tamil Nadu, India.
N. P. Kavya is with the Department of MCA, RNS Instituite of Technology, Bangalore.
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Cite: Kiran P., Sathish Kumar S., and Kavya N. P., "An Extended Conceptual Modeling for ETL Processes in Privacy Preserving Data Mining,"
International Journal of Future Computer and Communication vol. 1, no. 3, pp. 264-266, 2012.
