Web Information Extraction Rules and Their Learning Algorithms;

Visualized implementation of Web information extraction rule based on mini-node DOM tree

In this paper,we mainly discussed DOM-based Web information extraction,studied how to construct extraction rules to improve precision ratio of extraction and adaptation of extraction rules,and the rules generation procedure is also presented.

This method generates information extraction rules that is based on DOM path through attaching syntax information and sample-learning.

In the framework, the autonomy and coordination of agent are employed to assist user formulate extraction queries, to learn extraction rules on the base of knowledge bases and so on.

The program that extracts information from web is called wrapper, and the main task of constructing wrapper is to prepare extraction rules.

Text categorization rule extraction based on fuzzy decision tree;

A web document categorization rule extraction based on chaos particle swarm optimization combining linkage clustering;

Study on Attributions Selection and Rule Extraction of Data Mining for Classification Based on Neural Networks;

The process of knowledge discovery in time series includes preprocessing of time series data,attributes reduction and rules extraction.

The method uses tactics of immune clone in rules extraction from NN and clusters outputs of hidden neurons of NN, to reduce the searching scale and extract succinct sign rules of good understanding.