We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Abstract--In this paper we investigate hardware implementations of ciphering algorithms, SNOW 3G and the Advanced Encryption Standard (AES), for the acceleration of the protocol st...
Sebastian Hessel, David Szczesny, Nils Lohmann, At...
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, Page...
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep ...