52 search results - page 1 / 11 » Verifying and Mining Frequent Patterns from Large Windows ov... |
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...
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...