Research Advances in Data Mining Techniques and Applications

ISBN 10: 1837690782 / ISBN 13: 9781837690787

Published by Intechopen, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - For contemporary societies, data mining has emerged as a serious challenge. Thanks to more advanced analytical tools, the Big Data explosion has enabled businesses to assess their performance more thoroughly and accurately. For example, transitioning from using a basic spreadsheet to using data lake modeling offers more flexibility in terms of consulting and summarizing vast amounts of data from many business angles. Data mining, which is the foundation for this optimization of data analysis, has been strengthened by artificial intelligence and machine learning to find patterns in this deluge of data and build future prediction models, turning it into a critical tool for decision-making. This book provides an understanding of the most modern techniques and uses for data mining. It examines data mining in order to classify datasets, predict outcomes, and optimize analyses. Furthermore, the book demonstrates these technological developments by highlighting relevant applications of data mining in industry, biology, education, medicine, and health.

Seller Inventory # 9781837690787

Bibliographic Details

• Title: Research Advances in Data Mining Techniques and Applications
• Publisher: Intechopen
• Publication Date: 2024
• Language: English
• ISBN 10: 1837690782
• ISBN 13: 9781837690787
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 16D millimeters 260 millimeters width by 183 millimeters height by 16 millimeters depth
• Weight: 547 grams

About this title

Synopsis

For contemporary societies, data mining has emerged as a serious challenge. Thanks to more advanced analytical tools, the Big Data explosion has enabled businesses to assess their performance more thoroughly and accurately. For example, transitioning from using a basic spreadsheet to using data lake modeling offers more flexibility in terms of consulting and summarizing vast amounts of data from many business angles. Data mining, which is the foundation for this optimization of data analysis, has been strengthened by artificial intelligence and machine learning to find patterns in this deluge of data and build future prediction models, turning it into a critical tool for decision-making. This book provides an understanding of the most modern techniques and uses for data mining. It examines data mining in order to classify datasets, predict outcomes, and optimize analyses. Furthermore, the book demonstrates these technological developments by highlighting relevant applications of data mining in industry, biology, education, medicine, and health.