3651 search results - page 618 / 731 » Data Mining for Security Applications |
GFKL
2007
Springer
15 years 3 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
86
Voted
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
91
Voted
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
FLAIRS
2004
15 years 14 days ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...