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The method for detecting redundant attributes in relational datasets using the fractal ideology is studied. Based on the fractal dimension of a dataset and its variations, an algorithm for detecting redundant attributes is presented. The work has the following features: datasets with numeric and discrete attributes can be processed; an approach based on depth-equal data dimension division(i.e., the...
In the era of big data, information retrieval becomes even more challenging since the size of data volume is emerging fast and it is difficult to find the right information from the huge amount of heterogeneous datasets. Especially in software engineering domain, it tends to be more difficult to retrieve the right program from projects that are written in different languages and not well-developed...
There is such an increasing interest in data mining and educational systems currently that has made educational data mining as a new growing research community. This paper explores how to develope new methods for discovering knowledge of data from educational context. The non-linear correlation technology was introduced and applied in the mining process in the whole knowledge achieved. Meanwhile,...
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