1314 search results - page 28 / 263 » Approximate data mining in very large relational data |
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
DAWAK
2008
Springer
13 years 9 months ago
2008
Springer
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
ICDM
2006
IEEE
2006
IEEE
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
14 years 1 months ago
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...