IEEE

Improved KNN text classification algorithm with MapReduce implementation

Abstract: The classic K-Nearest Neighbor (KNN) classification algorithm is widely used in text classification. This paper proposes an efficient algorithm for text classification by improving the ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Scientific Research Publishing

Alharbi, A.A. (2024) Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable. Discrete Dynamics in Nature and Society, 2024, Article ID ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Frontiers

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Introduction: Integrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various ...
IEEE

Classification of IRIS Dataset using Classification Based KNN Algorithm in Supervised Learning

Abstract: Machine learning is about prediction on unseen data or testing data and a set of algorithms are required to perform task on machine learning. There are three types of machine learning are ...