UID:
almafu_9961564805902883
Umfang:
1 online resource (160 pages).
ISBN:
1-83769-079-0
Serie:
Artificial Intelligence
Inhalt:
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.
Anmerkung:
Table of Contents -- 1. Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge -- 2. Artificial Intelligence in Educational Research -- 3. Recognition of Brain Wave Related to the Episode Memory by Deep Learning Methods -- 4. Revealing Interesting If-Then Rules -- 5. COVID-19 Social Lethality Characterization in Some Regions of Mexico through the Pandemic Years Using Data Mining -- 6. Data Mining Strategy to Prevent Adverse Drug Events: The Cases of Rosiglitazone and COVID-19 Vaccines -- 7. On the Selection of Power Transformation Parameters in Regression Analysis -- 8. Modified Bagging in Linear Discriminant Analysis: Machine Learning -- 9. Application of Process Mining and Sequence Clustering in Recognizing an Industrial Issue.
Weitere Ausg.:
ISBN 1-83769-078-2
Sprache:
Englisch
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