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This paper introduced the features, functions, and mining process of the open-source data mining platform of Weka. In order to overcome the weakness of the aspects of association rules in Weka system research, we used positive and negative association rules algorithm to embed into the Weka platform, and expanded the association rules algorithm under the open-source environment for the further development...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we use the randomized response technology to conduct association rule mining. We propose a privacy preserving association rule mining algorithm which is called DDIL based on data disturbance and inquiry limitation. Applying DDIL on the data set, the original data can be disturbed and hidden and the degree of privacy-preserving...
Software defects are the key factors to evaluate the dependable software. This paper analyzes the attributes of software defects, and applies positive and negative association rules method to the research of software defects. This method can not only overcome the weak point of the traditional association rules method that can only mine the explicit rules, but also output some more meaningful rules...
The traditional method based on "support-confidence" framework could bring a large number of irrelevant or even misleading association rules. In view of the problem of evaluation standards of association rules, we increase interest measure in the evaluation standards, and give the definition of interest measure and positive and negative association rules method based on "interest-support-confidence"...
The high dependability software is not only one of software technique development commanding points, but also is the software industry development essential foundation, this paper summarizes the data mining to face the detect of the software credibility test, the appraisal and the technical aspect newest research, elaborated the data mining technology in the software flaw test application, including...
In view of the forecast of the coal spontaneous combustion, an analysis model to forecast the possibility of coal spontaneous combustion was established. Then, an analysis method of positive and negative association rules based on data mining was proposed. Application of the method can mine rules from the explicit and implicit factors related to coal spontaneous combustion. It can not only overcome...
The determination of the optimal oxygen content is very important in power plant operation optimization. Due to the disadvantages of traditional ways, this paper proposed a new method to decide the optimal oxygen content based on incremental updating data mining. This method could determine the optimal oxygen content and related frequent items by fuzzy quantitative association rule mining algorithm...
Association rules mining is one of the most important and fundamental problems in data mining. Recently, in need of security, more and more people are studying privacy- preserving association rules mining in distributed database. This paper addresses a secure mining algorithm of association rules, which builds a globe hash table to prune item-sets and incorporate cryptographic techniques to minimize...
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