262 search results - page 24 / 53 » An Improved Algorithm for Mining Association Rules Using Mul... |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
ICDE
2008
IEEE
14 years 9 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...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
MOBIDE
2010
ACM
13 years 8 months ago
2010
ACM
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...