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» Theoretical Frameworks for Data Mining
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ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
14 years 3 months ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
14 years 2 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
14 years 1 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen
KDD
2010
ACM
194views Data Mining» more  KDD 2010»
14 years 1 months ago
Versatile publishing for privacy preservation
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
Xin Jin, Mingyang Zhang, Nan Zhang 0004, Gautam Da...
DEXAW
2004
IEEE
131views Database» more  DEXAW 2004»
14 years 1 months ago
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
A considerable amount of e-learning content is being delivered via virtual or managed learning environments. These platforms keep track of learners' activities including cont...
Alex G. Büchner, David W. Patterson