4085 search results - page 100 / 817 » Benchmarking Data Mining Algorithms |
AUSAI
2007
Springer
14 years 4 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
KDD
2003
ACM
14 years 10 months ago
2003
ACM
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
It has long been noted that many data mining algorithms can be built on top of join algorithms. This has lead to a wealth of recent work on efficiently supporting such joins with ...
AUSDM
2007
Springer
14 years 4 months ago
2007
Springer
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
Set expansion refers to expanding a given partial set of objects into a more complete set. A well-known example system that does set expansion using the web is Google Sets. In thi...