IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Importance of Research Into Big Data With Machine Learning Approach

Importance of Research Into Big Data With Machine Learning Approach
View Sample PDF
Copyright: 2021
Pages: 5
Source title: Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis
Source Author(s)/Editor(s): Zhongyu Lu (University of Huddersfield, UK), Qiang Xu (University of Huddersfield, UK), Murad Al-Rajab (University of Huddersfield, UK & Abu Dhabi University, UAE)and Lamogha Chiazor (University of Huddersfield, UK)
DOI: 10.4018/978-1-7998-7316-7.ch008

Purchase

View Importance of Research Into Big Data With Machine Learning Approach on the publisher's website for pricing and purchasing information.

Abstract

This chapter provides some background information, highlights the motivations and problems resolved, and then discusses the aims and contributions of the research conducted. Over the past decades, there has been an explosion in the volume, variety, and velocity of data. Offering effective solutions as a resolution of some major problems this explosion brings has become ever more important. One such solution is big data machine learning (ML) classification or clustering. However, with the solutions offered, we are faced with several problems that include but are not limited to the context.

Related Content

Princy Pappachan, Sreerakuvandana, Mosiur Rahaman. © 2024. 26 pages.
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu. © 2024. 23 pages.
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello. © 2024. 25 pages.
Suchismita Satapathy. © 2024. 19 pages.
Xinyi Gao, Minh Nguyen, Wei Qi Yan. © 2024. 13 pages.
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino. © 2024. 30 pages.
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha. © 2024. 32 pages.
Body Bottom