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» Performance Measurements for Privacy Preserving Data Mining
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ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
16 years 12 days ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang
ADMA
2009
Springer
186views Data Mining» more  ADMA 2009»
16 years 21 days ago
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p...
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 7 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
227
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JCDL
2011
ACM
301views Education» more  JCDL 2011»
14 years 9 months ago
Archiving the web using page changes patterns: a case study
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...
Myriam Ben Saad, Stéphane Gançarski
ICDM
2006
IEEE
93views Data Mining» more  ICDM 2006»
16 years 4 days ago
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks
Recently K-anonymity has gained popularity as a privacy quantification against linking attacks, in which attackers try to identify a record with values of some identifying attrib...
Zhouxuan Teng, Wenliang Du