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Showing 1 to 7 of 7 for “"Apriori algorithm"”.
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Systematische Spielbeobachtung im internationalen Leistungsfußball
… method to analyze the football match. Using an Apriori algorithm, indirect connections between players were identified. The results described the “ball running” tendency whereby the ball was passed from player A to player B in a stepwise manner. In the article "Systematic match analysis in …
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Some Aspects on Data Modelling
… transaction data, for which brute-force search algorithms, e.g., the well-known Apriori algorithm, were developed. However, operating these algorithms becomes computationally intractable in searching large rule space. A stochastic search framework is developed to tackle this challenge by …
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A geographic knowledge discovery approach to property valuation
… rule mining and associative classification algorithms to uncover any existing inter-relationships and perform the valuation. Various algorithms that perform the above tasks have been proposed in the literature. The algorithm developed in this work is based on the Apriori algorithm. It has …
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New Approaches to Frequent and Incremental Frequent Pattern Mining
… methods for analyzing these large datasets. Many algorithms have been proposed for searching for frequent patterns. The search space combinatorically explodes as the size of the source data increases. Simply using more powerful computers, or even super-computers to handle ever-increasing size of …
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LARGE-SCALE DATA ANALYSIS OF GENE EXPRESSION MAPS OBTAINED BY VOXELATION
… and expression maps, we developed a modified Apriori algorithm to mine association rules among gene functions in the significant clusters. The experimental results show that the detected association rules (frequent itemsets of gene functions) make sense biologically. By inspecting the obtained …