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DKE
2008
98views more  DKE 2008»
15 years 7 months ago
Privacy-preserving imputation of missing data
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...
Geetha Jagannathan, Rebecca N. Wright
ICPR
2004
IEEE
16 years 8 months ago
Action and Simultaneous Multiple-Person Identification Using Cubic Higher-Order Local Auto-Correlation
We propose a new method ? Cubic Higher-order Local Auto-Correlation (CHLAC) ? to address three-way data analysis. This method is a natural extension of Higherorder Local Auto-Corr...
Nobuyuki Otsu, Takumi Kobayashi
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 7 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan
ICDCSW
2007
IEEE
16 years 1 months ago
Modeling Data Consistency in Wireless Sensor Networks
— With the rapid growth of wireless sensor systems deployment, data quality has become a critical issue to the success of these applications. In this paper, we first raise the d...
Kewei Sha, Weisong Shi
SAC
2005
ACM
16 years 1 months ago
The role of visualization in effective data cleaning
Using visualization techniques to assist conventional data mining tasks has attracted considerable interest in recent years. This paper addresses a challenging issue in the use of...
Yu Qian, Kang Zhang