Jun 1, 2015 · This paper proposes an improved algorithm for mining class association rules that uses the difference between two Obidsets (d2O) to save memory ...
In 2013, an efficient algorithm for mining class association rules, named CAR-Miner, has been proposed. It, however, still consumes much memory in storing ...
This paper proposes an improved algorithm for mining class association rules that uses the difference between two Obidsets (d2O) to save memory usage and run ...
In this paper, we propose an improved algorithm for mining class association rules by using the difference between two Obidsets (d2O). Firstly, the d2O concept ...
This paper proposes an effective strategy for maximal rules mining based on soft set theory that consists of building a tree Max_IT_Tree and generating ...
An improved algorithm for mining class association rules by using the difference between two Obidsets (d2O) is proposed, and the d2O concept is developed ...
Abstract. Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent ...
Missing: Obidsets. | Show results with:Obidsets.
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Nguyen, L., and Nguyen, N. 2015. An improved algorithm for mining class association rules using the difference of Obidsets. Expert Systems with Applications.
In this paper, we modify CAR-Incre algorithm by using Diffsets (difference between Obidsets) instead of Obidsets. CAR-Incre is adjusted to fit Diffsets. We ...
This paper proposes an improved algorithm for mining class association rules that uses the difference between two Obidsets (d2O) to save memory usage and run ...