1662 search results - page 53 / 333 » Generation of Attributes for Learning Algorithms |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
ICDE
2004
IEEE
14 years 10 months ago
2004
IEEE
Real datasets are often large enough to necessitate data compression. Traditional `syntactic' data compression methods treat the table as a large byte string and operate at t...
ICWL
2004
Springer
14 years 2 months ago
2004
Springer
This paper describes a system for the animation of algorithms on an electronic chalkboard. The instructor teaching an algorithm can enter data directly through a drawing- the algor...
DAWAK
2004
Springer
14 years 2 months ago
2004
Springer
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Ingcreasingly, data-mining algorithms must deal with databases that continuously grow over time. These algorithms must avoid repeatedly scanning their databases. When database att...