512 search results - page 58 / 103 » Explorative Data Mining on Stock Data - Experimental Results... |
ECIS
2000
13 years 10 months ago
2000
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
APBC
2004
13 years 10 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...