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ACSW
2007
14 years 11 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
15 years 10 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
15 years 4 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
15 years 1 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...