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» Anonymization Techniques for Knowledge Discovery in Database...
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KDD
1994
ACM
96views Data Mining» more  KDD 1994»
14 years 1 days ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
NAR
1998
122views more  NAR 1998»
13 years 7 months ago
The PIR-International Protein Sequence Database
The Protein Information Resource (PIR; http://wwwnbrf.georgetown.edu/pir/ ) supports research on molecular evolution, functional genomics, and computational biology by maintaining...
Winona C. Barker, John S. Garavelli, Daniel H. Haf...
SP
2008
IEEE
14 years 2 months ago
Robust De-anonymization of Large Sparse Datasets
We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
Arvind Narayanan, Vitaly Shmatikov
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 2 months ago
Discovering Knowledge from Multi-modal Lecture Recordings
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
Kannan Rajkumar, Christian Guetl
IDEAL
2003
Springer
14 years 1 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis