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The theoretical relationship between association rules and machine learning techniques needs to be studied in more depth. This article studies the use of clustering as a model for association rule mining. The clustering model is exploited to bound and estimate association rule support and confidence. We first study the efficient computation of the clustering model with K-means; we show the sufficient...
Automatic configuration of large and heterogeneous ICT systems and their dependability mechanisms is both desirable and daunting for the inherent complexity of these systems.Configurations are commonly designed based on personal expertise, best practice, empirical evidence, without any automatic process and formal validation mechanism. This approach leads to frequent and reiterate errors with severe...
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of occurrence in a record i.e. their weight and utility is the same (weight=1 and utility=1) which is not always the case. However, items are actually different in many aspects in a number of real applications such as retail marketing,...
Soft error, a concern for space applications in the past, became a critical issue in deep sub-micron VLSI design for the continuous technology scaling. Automated fault injection technique is employed to characterize the soft error sensitivity of VHDL based design and association analysis algorithm is firstly introduced into this realm to explore the fault dependency of the components in the design...
In this paper we study protein based memories. We present a model of computing based on protein based processors and also offer constant time algorithms for many fundamental problems. We also propose elegant solutions for the diffraction effects associated with protein based memories thus solving a long-standing open problem.
Effective data distribution techniques can significantly reduce the total execution time of a program on grid computing environments, especially for data mining applications. In this paper, we describe a linear programming formulation for the data distribution problem on grids. Furthermore, a heuristic method, named HDDS (heuristic data distribution scheme), is proposed to solve this problem. We implement...
In association rules, although Apriori algorithm uses cut-technology when it generates item sets of candidates, it has to scan the entire database while scanning the transaction database each time. The scanning speed is very slow for its large amount of data. The improved Apriori algorithm based on matrix is improved from the Apriori algorithm and the matrix algorithm. Its basic idea is transforming...
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