80 search results - page 2 / 16 » Approximate mining of frequent patterns on streams |
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
CIDM
2007
IEEE
13 years 5 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
Extensive research for frequent-pattern mining in the past decade has brought forth a number of pattern mining algorithms that are both effective and efficient. However, the exist...