Deniz Publication
Clinical Cancer Investigation Journal
ISSN Print: 2278-1668, Online: 2278-0513


Publisher: Deniz Publication
ARTICLE
Year: 2022   |   Volume: 11   |   Issue: 1 S   |   Paper ID: CCLS220457

Studying data mining techniques and their applications


,
Abstract

Data mining is a scientific field and a process that must be put into practice as a project rather than being available for purchase. The information hidden in the data may be utilized, however, the data are often large and cannot be used alone. As a result, it is becoming more and more important to use the power of data mining to find patterns and models as well as to connect various database elements to find the knowledge concealed in the data and, ultimately, to transform the data into information. Finding practical patterns in the data is sometimes referred to as data mining. An effective model is innovative, valid, easy to grasp, and explains the connection between a subset of facts. In this study, we investigated the literature on data mining methods and applications.

Downloads: 22

Views: 111
Copyright © 2026 Clinical Cancer Investigation Journal. Authors retain copyright of their article if they are accepted for publication.
Creative Commons License 
ISSN Print: 2278-1668, Online: 2278-0513