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Data Mining and Analysis: Fundamental Concepts and Algorithms
Price: $51.99
(as of Dec 27,2024 14:40:32 UTC – Details)
ASIN : B08JZBT7VF
Publication date : September 23, 2020
Language : English
File size : 129022 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 1645 pages
Customers say
Customers find the book comprehensive and helpful for learning about data mining. They appreciate the clear writing style and organization of the material. However, some readers feel the math content is too extensive with countless equations printed in small print.
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Data Mining and Analysis: Fundamental Concepts and Algorithms
In today’s data-driven world, the ability to extract valuable insights from vast amounts of data is crucial for making informed decisions. Data mining and analysis are essential techniques that enable organizations to uncover patterns, trends, and relationships within their data.
Data mining involves the process of discovering meaningful patterns and information from large datasets. This can include techniques such as clustering, classification, regression, and association rule mining. By applying data mining algorithms, businesses can gain valuable insights that can help improve decision-making, optimize processes, and identify opportunities for growth.
One of the fundamental concepts in data mining is the use of algorithms to extract valuable information from raw data. These algorithms are designed to perform specific tasks, such as pattern recognition, anomaly detection, and prediction. Some popular data mining algorithms include decision trees, k-means clustering, neural networks, and association rule mining.
It is important for organizations to understand the fundamental concepts and algorithms of data mining in order to effectively analyze and extract insights from their data. By leveraging these techniques, businesses can gain a competitive advantage, improve efficiency, and drive innovation.
In conclusion, data mining and analysis are powerful tools that can help organizations unlock the full potential of their data. By understanding the fundamental concepts and algorithms of data mining, businesses can harness the power of their data to make better decisions and drive success.
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