145 search results - page 2 / 29 » Data Stream Clustering: Challenges and Issues |
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
ASC
2008
13 years 4 months ago
2008
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
ICDE
2009
IEEE
13 years 11 months ago
2009
IEEE
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
AMW
2010
13 years 6 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...