نتایج جستجو برای: association rules analysis
تعداد نتایج: 3293566 فیلتر نتایج به سال:
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
Nowadays companies measure suppliers on the basis of a variety of factors and criteria that affect the supplier's selection issue. This paper intended to identify the key effective criteria for selection of green suppliers through an efficient algorithm callediterative process mining or i-PM. Green data were collected first by reviewing the previous studies to identify various environmental cri...
Association rule mining [1] is a prominent data-mining method used in many domains. Despite the fact that most large datasets are collected over longer time spans, the considered systems are in most cases assumed stationary, which leads to complete ignorance of temporal effects. In this contribution we present statistical and discretization techniques of partitioning the data recording time int...
Data envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009...
Generating a huge number of association rules reduces their utility in the decision making process, done by domain experts. In this context, based on the theory of Formal Concept Analysis, we propose to extend the notion of Formal Concept through the generalization of the notion of itemset in order to consider the itemset as an intent, its support as the cardinality of the extent and its releva...
background: breast cancer is the most prevalent malignancy in women and there are many possible reasons for its occurrence. one important issue in different kinds of cancers is the spreading of cancerous cells to other tissues (metastasis). therefore, we have investigated the factors associated with the prediction of metastasis of breast cancer with data mining tools. methods: this study is a c...
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