151 search results - page 8 / 31 » Data mining in bioinformatics using Weka |
DASFAA
2005
IEEE
15 years 3 months ago
2005
IEEE
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
ADMA
2005
Springer
15 years 3 months ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
BIBE
2006
IEEE
15 years 4 months ago
2006
IEEE
Bioinformatics data is growing at a phenomenal rate. Besides the exponential growth of individual databases, the number of data depositories is increasing too. Because of the comp...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...