Application And Reaserch Of Shipping Data Based On GA-KNN Classfication Model

Nowadays, the Internet is booming, the network is filled with a variety of text information. Especially in the field of shipping, various shipping information has a rapid growth.But the researches based on natural language processing technology on this field are still few, including text information presentation technology, synonyms problems processing method, feature terms selecting method, text retrieval technology, text categorization technology, web information extraction technology, and so on.Considering these issues, the establishment of a timetable in the field of text vector space model, to build a professional in the field of virtual search engine, and then with the GA-KNN classification model combining the initial page set classify data has been sailing page set of information, and finally DOM based web extraction, collection pages timetable data. The main contents are:1. Building a vector space model to process the web pages, and creating methods that combined specific area features to select feature terms and process synonyms words. That could compute and lower the dimension of vector space.2.Constructing a virtual professional search engine based on multiple general search engines to get raw web pages related with online game as the originalobject of study.3. KNN method, combined with genetic algorithm, building a GA-KNN text classification model for text classification. That is, this transformation based KNN classification method to classify timetable for text; combined with GA for feature selection, in order to reduce the computational complexity, improve classification accuracy.4. The use of DOM-based Web information extraction technology to extract structured timetable data,in order to carry out the next step.