Web text clustering algorithm based on the nonstructural data mining model;

Ontology-based similarity measure for text clustering;

Topic discovery based on text clustering techniques;

Border distance based multi-vector document clustering method;

An improved k-means algorithm for document clustering;

Variant of K-means algorithm for document clustering: optimization initial centers;

The paper introduces the definition,characteristic of web text mining,emphatically analyzes the related technologies including text feature representation,characteristic subset selection,text classification,text cluster,and prospects the development of it.

1)Propose a text clustering method based on GA-SOM-based Te.

On the basis of text cluster,the author makes an exploratory research on XML documents cluster,through the improvement on partition cluster and layer cluster,makes them can use on XML documents cluster.

Compensation strategy of unseen feature words in naive Bayes text classification;

Multi-dimensional,multi-level text classification system for marine knowledge;

Subject-oriented text classification algorithm based on information retrieval;

Method of Chinese text categorization based on the word vector space model;

Effects of category distribution in a training set on text categorization;

A Chinese text categorization system based on the improved VSM;