Component classifying method based on net establishing software of decision tree

Abstract

The invention discloses a component classifying method based on net establishing software of a decision tree. A new component is added into a component bank of the net establishing software. A decision tree technology in data mining is used in classifying of the newly-added component. An ID3 algorithm based on information gain is used for carrying out analysis on the recommending degree of the newly-added component, the decision tree is established, and component classifying is completed. The decision tree technology is used in component classifying in the net establishing software, information gain is used for measuring component attribute values which are used as information amount provided for whole classifying, a classifying rule is visual, understanding and achieving are easy, and classifying efficiency is high.

Description

technical field

[0001] The invention relates to a method for classifying components in a component library of network-structured software, in particular to a method for classifying components in network-structured software based on a decision tree. Background technique

[0002] A large amount of unstructured information is scattered throughout the Internet, which brings convenience to people but also brings many problems: too much information, difficult to digest; difficult to identify true and false information; difficult to guarantee information security; inconsistent information forms, difficult to Unified processing. The same confusion exists in the component library of Internet-based software built on the Internet, so there should be an intermediate link between the component provider and the component consumer. Through this link, some preprocessing of component information is required, so that Component consumers can get the components they want quickly and convenient...

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