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

Introduction to Data Mining

Introduction to Data Mining
View Sample PDF
Copyright: 2023
Pages: 34
Source title: Principles and Theories of Data Mining With RapidMiner
Source Author(s)/Editor(s): Sarawut Ramjan (Thammasat University, Thailand)and Jirapon Sunkpho (Thammasat University, Thailand)
DOI: 10.4018/978-1-6684-4730-7.ch001

Purchase

View Introduction to Data Mining on the publisher's website for pricing and purchasing information.

Abstract

Data mining is a powerful and increasingly popular tool that uses machine learning to uncover patterns in data and help businesses stay competitive. Data scientists are trained to understand business objectives and select the correct techniques for data exploration and pre-processing. After formulating the business question, data mining methods are chosen and evaluated to determine their ability to fit the data set and answer the query. Results are then reported back to the business owner. Data mining is an essential part of modern business, allowing the organization to keep up with the competition and remain successful. With its growing popularity, the need for data scientists is rapidly increasing.

Related Content

. © 2023. 34 pages.
. © 2023. 15 pages.
. © 2023. 15 pages.
. © 2023. 18 pages.
. © 2023. 24 pages.
. © 2023. 32 pages.
. © 2023. 21 pages.
Body Bottom