IEEE - Institute of Electrical and Electronics Engineers, Inc. - Secure two and multi-party association rule mining

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)

Author(s): Samet, S. ; Miri, A.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2009
Conference Location: Ottawa, ON, Canada, Ottawa, ON, Canada
Conference Date: 8 July 2009
Page(s): 1 - 6
ISBN (CD): 978-1-4244-3764-1
ISBN (Paper): 978-1-4244-3763-4
DOI: 10.1109/CISDA.2009.5356544
Regular:

Association rule mining provides useful knowledge from raw data in different applications such as health, insurance, marketing and business systems. However, many real world applications are... View More

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