NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE SEBAGAI ALTERNATIF SOLUSI UNTUK TEXT MINING

A Novel Technique for Fingerprint Classification based on Naive Bayes Classifier and Support Vector Machine

Fingerprint classification decreases the number of possible matches in automated fingerprint identification systems by categorizing fingerprints into predefined classes. Support vector machines are widely used in pattern classification and have produced high accuracy when performing fingerprint classification. In order to effectively apply Support vector machines to multi-class fingerprint clas...

A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier

With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

Pairwise Naive Bayes Classifier

Text Categorization using Association Rule and Naive Bayes Classifier

As the amount of online text increases, the demand for text categorization to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of knowing what classes a text belongs to, is expensive. Automatic categorization of text can provide this information at low cost, but the classifiers themselves must be built with expensive human effort, or trained fro...