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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 5 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
KDD
1994
ACM
214views Data Mining» more  KDD 1994»
13 years 9 months ago
Efficient Algorithms for Discovering Association Rules
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 6 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
EVOW
2007
Springer
13 years 11 months ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 6 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim