An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy

An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy

Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we...

Full description

Saved in:
Bibliographic Details
Main Authors: QU, Ling, LI, Yingjiu, Wu, Xintao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
Subjects:
Information Security
Online Access:https://ink.library.smu.edu.sg/sis_research/610
http://dx.doi.org/10.1109/ICDMW.2006.26
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1609
record_format dspace
spelling sg-smu-ink.sis_research-16092010-09-24T08:24:04Z An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy QU, Ling LI, Yingjiu Wu, Xintao Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off storage requirements. 2006-11-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/610 info:doi/10.1109/ICDMW.2006.26 http://dx.doi.org/10.1109/ICDMW.2006.26 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Information Security
spellingShingle Information Security
QU, Ling
LI, Yingjiu
Wu, Xintao
An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
description Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off storage requirements.
format text
author QU, Ling
LI, Yingjiu
Wu, Xintao
author_facet QU, Ling
LI, Yingjiu
Wu, Xintao
author_sort QU, Ling
title An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
title_short An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
title_full An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
title_fullStr An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
title_full_unstemmed An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
title_sort approach to outsourcing data mining tasks while protecting business intelligence and customer privacy
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/sis_research/610
http://dx.doi.org/10.1109/ICDMW.2006.26
_version_ 1770570521430196224

Similar Items