Identifying the queried object, from a large volume of given uncertain dataset, is a tedious
task which involves time complexity and computational complexity. To solve these …

Automatic document sorting becomes increasingly important as handling and organizing
documents manually is a time consuming and not a viable solution on given the number of …

The nearest neighbor (NN) technique is very simple, highly efficient and effective in the field
of pattern recognition, text categorization, object recognition etc. Its simplicity is its main …

With the recent advancement in the field of online services, the importance of a review for a
product has also gone up. In this paper we focus on the aspect of reducing the time and …

According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …

This paper describes our experimental study and comparison of the standard k-nearest
neighbor (KNN) method with modifications of the standard KNN, based on the calculated …

The k NN (k nearest-neighbors) search is currently applied in a wide range of applications,
such as data mining, multimedia, information retrieval, machine learning, pattern …

Laporan skripsi dengan judul “Implentasi Algoritma K-Nearest Neighbor untuk Identifikasi
Kualitas Air (Studi Kasus: PDAM Kota Surakarta)” disusun berdasarkan penelitian yang …

Text-based classification is a technique which may be used to identify different types of data
from the applications' point of view. Different researches are going on to identify ways of …

Abstract The k Nearest Neighbor (KNN) algorithm has been widely applied in various
supervised learning tasks due to its simplicity and effectiveness. However, the quality of …