143 search results - page 10 / 29 » Incremental Clustering for Mining in a Data Warehousing Envi... |
IASSE
2004
13 years 9 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
ACSW
2004
13 years 9 months ago
2004
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
ISMIS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
ICDM
2002
IEEE
14 years 23 days ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...