661 search results - page 70 / 133 » Scalable Parallel Data Mining for Association Rules |
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
KDD
1995
ACM
14 years 16 days ago
1995
ACM
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
EPIA
2003
Springer
14 years 2 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
DAWAK
2000
Springer
14 years 1 months ago
2000
Springer
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...