Tools and Applications of Data Mining
Data mining is the process of discovering patterns, correlations, and anomalies within large datasets to predict outcomes and derive valuable insights. It involves various techniques from statistics, machine learning, and database systems to analyze and interpret complex data. By making use of algorithms such as clustering, classification, regression, and association rules, data mining transforms raw data into meaningful information. This process is crucial in fields like marketing, finance, healthcare, and customer relationship management, enabling organizations to make informed decisions, enhance customer experiences, and improve operational efficiency. The integration of data mining with big data technologies has further amplified its potential, allowing the analysis of vast and diverse data sources in real-time. Despite its benefits, data mining also raises ethical and privacy concerns, necessitating responsible and transparent practices to protect individuals' data rights. This book unravels the recent studies in the field of data mining. It picks up individual topics and explains their needs and contribution. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.
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Tools and Applications of Data Mining
Data mining is the process of discovering patterns, correlations, and anomalies within large datasets to predict outcomes and derive valuable insights. It involves various techniques from statistics, machine learning, and database systems to analyze and interpret complex data. By making use of algorithms such as clustering, classification, regression, and association rules, data mining transforms raw data into meaningful information. This process is crucial in fields like marketing, finance, healthcare, and customer relationship management, enabling organizations to make informed decisions, enhance customer experiences, and improve operational efficiency. The integration of data mining with big data technologies has further amplified its potential, allowing the analysis of vast and diverse data sources in real-time. Despite its benefits, data mining also raises ethical and privacy concerns, necessitating responsible and transparent practices to protect individuals' data rights. This book unravels the recent studies in the field of data mining. It picks up individual topics and explains their needs and contribution. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.
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Tools and Applications of Data Mining

Tools and Applications of Data Mining

by Richard Vincent (Editor)
Tools and Applications of Data Mining

Tools and Applications of Data Mining

by Richard Vincent (Editor)

Hardcover

$155.00 
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    Available for Pre-Order. This item will be released on August 25, 2025

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Overview

Data mining is the process of discovering patterns, correlations, and anomalies within large datasets to predict outcomes and derive valuable insights. It involves various techniques from statistics, machine learning, and database systems to analyze and interpret complex data. By making use of algorithms such as clustering, classification, regression, and association rules, data mining transforms raw data into meaningful information. This process is crucial in fields like marketing, finance, healthcare, and customer relationship management, enabling organizations to make informed decisions, enhance customer experiences, and improve operational efficiency. The integration of data mining with big data technologies has further amplified its potential, allowing the analysis of vast and diverse data sources in real-time. Despite its benefits, data mining also raises ethical and privacy concerns, necessitating responsible and transparent practices to protect individuals' data rights. This book unravels the recent studies in the field of data mining. It picks up individual topics and explains their needs and contribution. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.

Product Details

ISBN-13: 9781647287061
Publisher: Willford Press
Publication date: 08/25/2025
Pages: 227
Product dimensions: 7.00(w) x 10.00(h) x 0.00(d)
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