247 search results - page 17 / 50 » Business Process Understanding: Mining Many Datasets |
KDD
1997
ACM
13 years 11 months ago
1997
ACM
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
WSCG
2004
13 years 9 months ago
2004
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
ICDE
2005
IEEE
14 years 1 months ago
2005
IEEE
Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the ...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
BMCBI
2008
13 years 7 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...