582 search results - page 2 / 117 » Info-fuzzy algorithms for mining dynamic data streams |
CORR
2008
Springer
13 years 5 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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
DAWAK
2010
Springer
13 years 6 months ago
2010
Springer
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
DAWAK
2006
Springer
13 years 8 months ago
2006
Springer
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
GRC
2008
IEEE
13 years 5 months ago
2008
IEEE
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...