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KDD
2002
ACM
146views Data Mining» more  KDD 2002»
14 years 8 months ago
Closed Set Mining of Biological Data
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. ...
John L. Pfaltz, Christopher M. Taylor
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
14 years 18 hour ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
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...
Carlos Ordonez, Paul Cereghini
GLOBECOM
2009
IEEE
13 years 5 months ago
Implementation and Benchmarking of Hardware Accelerators for Ciphering in LTE Terminals
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...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
14 years 7 months ago
Benchmarking declarative approximate selection predicates
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...
KAIS
2008
79views more  KAIS 2008»
13 years 7 months ago
Top 10 algorithms in data mining
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 ...