512 search results - page 30 / 103 » Explorative Data Mining on Stock Data - Experimental Results... |
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
TEC
2008
13 years 9 months ago
2008
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
BMCBI
2008
13 years 9 months ago
2008
Background: Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed b...
KDD
1995
ACM
14 years 16 days ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
BMCBI
2005
13 years 9 months ago
2005
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...