Rancang Bangun Aplikasi Text Mining dalam Mengelompokkan Judul Penelitian Dosen Menggunakan Metode Shared Nearest Neighbor dan Euclidean Similarity

Abstract

Data mining is the process of extracting hidden information into a know ledge. Some types of data in data mining are web mining, text mining, sequence mining, graph mining, temporal data mining, spatial data mining, distributed data mining and multimedia mining. Document grouping is one of the techniques of text mining. The purpose of this research is to build the application of lecturer research title classification using Shared nearest Neighbor method. The method used in the research is one of the methods of grouping in text mining that is Shared Nearest Neighbor (SNN) with Euclidean Similarity. Testing is done using black box test. The result of this research is text mining application that able to clustering the title of research lecturer. Keywords: