It is quiet necessary to define them objectively, distinguish them strictly, jail separately and strengthen the correcti.

Incremental updating algorithm based on associative classification

In this paper,a model based on associative classification technique is presented in order to find the relationship between the load and the factors correlated with load forecasting accuracy,which can be used in incomplete data processing.

associative classification method, is presented.

Research on combining association classification and 1-Nearest Neighbor method in data mining system;

In the research on text association classification,the quality of the classification result is influenced evidently by the distribution of feature words of training samples,the accuracy of classification will obviously fall when the distribution of feature words is uneven.

A genetic algorithm applied to multi target relative classification;

This paper introduces a framework of extracting the taxonomic relation semi-automatically for ontology learning from text.

The ontology taxonomic relation among concepts is reviewed,and a general,domain-independent and bottom-up multi-level model and algorithm for establishing the taxonomic relation among concepts is proposed.

For the defects of template-based method applied in Chinese ontology learning at present,this paper presents a taxonomic relation extraction method based on HowNet and bootstrapping.