Text Classification in Deep Web Mining

摘要

We Looming the quick growth of the deep web is causing the continuous growth of information, leading to several problems such as increased complexity of extracting potentially useful knowledge. Web content mining challenges this problem by gathering explicit information from different web sites for its access and knowledge discovery. Using data mining algorithms such as classification to extract information using different classification algorithms such as K-Nearest Neighbor (CK-NN) and Classifier Naive Bayes (CNB).We will investigate and evaluate these common methods; using web mining systems by using a set of features as a vector of keywords for the learning process to apply text classification for the system. The algorithm usually used to classify a various number of documents written in a Latin text language.