105 search results - page 1 / 21 » A Grouping Method for Categorical Attributes Having Very Lar... |
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
DMKD
1997
ACM
13 years 8 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
KDD
1999
ACM
13 years 8 months ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
NGC
2001
Springer
13 years 9 months ago
2001
Springer
In multicast communication, it is often required that feedback is received from a potentially very large group of responders while at the same time a feedback implosion needs to be...