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LWA
2007
15 years 8 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
DMIN
2006
115views Data Mining» more  DMIN 2006»
15 years 8 months ago
Privacy Preserving in Clustering using Fuzzy Sets
Data mining techniques, in spite of their benefit in a wide range of applications have also raised threat to privacy and data security. This paper addresses the problem of preservi...
S. Srinivasa Rao 0002, K. V. S. V. N. Raju, P. Kus...
AUSDM
2006
Springer
124views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Analyzing Harmonic Monitoring Data Using Data Mining
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on ...
Ali Asheibi, David Stirling, Danny Soetanto
NCA
2007
IEEE
15 years 6 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
ICIP
1994
IEEE
15 years 10 months ago
Very High Speed Entropy Coding
Efforts to build high-speed hardware for many different entropy coders are limited by fundamental feedback loops. Here is a method that allows for parallel compression in hardware...
Martin P. Boliek, James D. Allen, Edward L. Schwar...