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It is necessary to discrete datasets firstly if you want to data mining an association rule of datasets consisting of many categorical and numeric attributes by a traditional algorithm. However, in view of the versatility, the applications of the traditional algorithm are limited. This paper propose a new algorithm called ARMFI(Association Rule of Multiple Frequent Item-sets) which can data mining...
Decision tree algorithm has been widely used to classify numeric and categorical attributes. Lots of approaches were suggested in order to induce decision trees. ID3 (Quinlan, 1986), as a heuristic algorithm, is very classic and popular in the induction of decision trees. The key of ID3 is to choose information gain as the standard for testing attributes. In this paper, we propose a novel measure...
This paper emphasized on the implementation of ID3 algorithm in forestry resource classification rule decision tree. Use ID3 algorithm to analysis the correlation information among forestry species, altitude, origin, forest group and rows by establishing decision tree model, and provide reference for the related decision support. It is proved that this method has a good application prospect in forest...
Decision tree is a common classification algorithm, but this classic algorithm shows low efficiency when dealing with massive data structure decision tree. This paper presents a new approach to structuring decision tree. The split calculation of training units in classic algorithm is taken the place by FP Tree path sets. This method can improve the efficiency of decision tree with the presupposition...
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