ABSTRACT As most information (over 80%) is stored as text, text mining is believed to have
a high commercial potential value. knowledge may be discovered from many sources of …

Sentiment analysis atau opinion mining merupakan topik riset yang penting dan sedang
marak dilakukan saat ini. Opinion mining merupakan cabang penelitian dari text mining …

Most of the current EEG-based workload classifiers are subject-specific; that is, a new
classifier is built and trained for each human subject. In this paper we introduce a cross …

Dalam peningkatan kualitas pendidikan di Universitas, opini mahasiswa tidak dapat lepas
dalam prosesnya. Opini mahasiswa dapat memberikan dukungan terkait proses kegiatan …

This paper proposed a study that will assess different machine learning techniques in
classifying tweets. There are four machine learning techniques that will be subjected to …

Purpose Feature selection is an important step for data pre-processing specially in the case
of high dimensional data set. Performance of the data model is reduced if the model is …

Association Rule Mining (ARM) and classification are integrated together to build
competitive classifier models called Associative Classifiers and this approach is known as …

The rapid growth of World Wide Web has rendered the document classification by humans
infeasible which has given impetus to the techniques like Data mining, NLP and Machine …

This paper introduces an effective method for recommendation of career promotion for
educators in universities. Given an educator with an activity profile currently in a certain …

Waqf is a donation activity of an own property for charity and the general welfare under
sharia. The productive waqf empowerment in perspective economic changes the use of …