… classification from Indonesian EMR for clinical decision support system (CDSS) in classifying
patient diagnosis using … Data mining has shown performance that can support medical …

… of the classification and data mining tasks concerning Hadith texts. Hadith is derived from the
… for Hadith text categorization. The study examined the dictionary-lookup stemming, the root-…

… This paper entails the application of text classification algorithms. … In Section 2, a review
of related maintenance, data mining, classification models that are applied in this work is …

… Text mining, also known as text data mining or text … Text mining tasks include the activities
of search engines, such as assigning texts to one or more categories (ie, text categorization), …

… , data mining, and so on for the identification of an attack [1, 3]. In recent years, data mining
… of the intuitionist and frank classification methods in data mining which can be used for this …

… discussion of semantic text classification vs. traditional text classification. This survey explores
the … Natural Language Processing (NLP), Machine Learning (ML) and Data Mining (DM) …

… data is the data that is neither raw data nor typed data in a conventional database system
[12]. Text mining is similar to data mining, except that data mining … In-text classification issue …

… news data into four predefined classes namely Business, Entertainment, sports and
Technology. For text classification WEKA an open source data mining tool is used. Different …

… In doing text processing required the use of classification … NB is used to handle document
classification problems through … In research on the use of data mining to find useful data from …

… patterns of text-mining applications are referred to as the information extraction, text clustering,
and text classification, … Text mining is different from data mining [18] concerning the target …