Due to the increasing technological advances in all fields, a considerable amount of data
has been collected to be processed for different purposes. Data mining is the process of …

Diabetes mellitus is a chronic disease that affects many people in the world badly. Early
diagnosis of this disease is of paramount importance as physicians and patients can work …

Diabetes mellitus is one of the most commonplace persistent illnesses in nearly all nations,
and keeps booming in numbers and importance, as economic development and …

In this study, we performed sentiment analysis on restaurant reviews. To dine, we all go to
restaurants with our loved ones and friends. However, we decide which restaurant to eat at …

The k-nearest neighbor (KNN) algorithm is vulnerable to noise, which is rooted in the
dataset and has negative effects on its accuracy. Hence, various researchers employ …

Natural Language processing (NLP) includes the task of classifying texts. The proposed
paper uses the ability and power of machine learning and deep learning techniques for …

Abstract Type-Diabetes Mellitus (T2DM), a major threat to developing as well as developed
countries, can be easily controlled to a large extent through lifestyle modifications. Diabetes …

Feature selection (FS) is indeed a tough, challenging and demanding task due to the large
exploration space. It moderates and lessens the number of features. It also eliminates …

The performance of cultural algorithm for diabetes prediction has been studied
systematically and result has been presented in this paper. The performance of the …

In today's digital world, a dataset with large number of attributes has a curse of
dimensionality where the computation time grows exponentially with the number of …