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» Developing an Open Architecture for Performance Data Mining
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EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 9 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
14 years 1 months ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 1 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
SBBD
2003
135views Database» more  SBBD 2003»
13 years 10 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
14 years 2 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha