In this paper, we present an algorithm for finding complete frequent patterns from very large dense datasets in a cluster environment. The data needs to be ...
Abstract. Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association ...
In this paper, we present an algorithm for finding complete frequent patterns from very large dense datasets in a cluster environment. The data needs to be ...
In this paper, we have presented an algorithm for mining complete frequent patterns from very large dense datasets using a cluster of computers. The ...
In this paper, we focus on dense graph streams, which can be generated in various applications ranging from sensor networks to social networks, from bio- ...
In this paper, we present an algorithm for finding complete frequent patterns from very large dense datasets in a cluster environment. The data needs to be ...
Empirical evaluations show that our algorithm can make a fair estimation of the probable frequent patterns and reaches some of the longest frequent patterns ...
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In this paper, we present an algorithm for finding complete frequent patterns from very large dense datasets in a cluster environment. The data needs to be ...
This paper describes the design and implementation of a parallel data mining algorithm on a PC cluster. The architecture of the system and its implementation ...
The design and implementation of a parallel data mining algorithm on a PC cluster and the performance results for different configurations of processors ...