872 search results - page 58 / 175 » Hybrid Learning Scheme for Data Mining Applications |
SOFTWARE
2002
13 years 7 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
MLG
2007
Springer
14 years 1 months ago
2007
Springer
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...