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Data mining is the process of extracting useful hidden knowledge from large volumes of data and its results can be used in decision support systems. Several data mining algorithms have been developed; one example is the association rule mining, which discovers associations among items encoded within a database. When the values of the attributes in a database are continuous such as height, length or...
In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minimum support. In real applications, different items may have different criteria to judge their importance. In this paper, we thus propose an algorithm which combines clustering, fuzzy and genetic concepts for extracting reasonable...
With the rapid evolution of Internet and the broad application of computer technology, the number of electronic texts increases quickly. Classifying these texts effectively becomes more and more important. This paper proposes a novel approach for automatic Chinese text categorization. By introducing fuzzy sets concept, it improves the existing categorization approaches based on association rules....
We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords. Association rules are learned through fuzzy clustering and unsupervised feature selection. We assume that a collection of images is...
Association rules method is important in mining large sets of data, but there are often many meaningless rules discovered, which affects the algorithm's efficiency, moreover, the presentation of rules is not easy for users to understand. User guide often works during association rules mining procedure. This paper presents a user-guided association rules mining method, considering users' differential...
The mining of cube gradient is a new research problem in the data mining community. It is an extension of the traditional association rules mining in the data cube and its purpose is to mine the changes of measures in a multidimensional space. However, previous works explore for cube gradients with raw number, and the semantics of the changes of cube gradients, such as high or low, are not clear and...
With the traveling records of browsers, one can analyze the preference of pages, further understand the demands of consumers, and promote the advertising and marketing. In this study, we use maximum forward reference (MFR) algorithm to find the travel pattern of browsers from Web logs. Simultaneously, experts are asked to evaluate the fuzzy importance weightings for different Webs. At last, we employ...
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