143 search results - page 7 / 29 » Incremental Clustering for Mining in a Data Warehousing Envi... |
CORR
2008
Springer
13 years 8 months ago
2008
Springer
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
ESWA
2008
13 years 7 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
ITNG
2010
IEEE
14 years 27 days ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
SIGMOD
2004
ACM
14 years 8 months ago
2004
ACM
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...