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Results for tag: "Temporal Data Mining"

Data Mining and Machine Learning Applications. Edition No. 1 - Product Thumbnail Image

Data Mining and Machine Learning Applications. Edition No. 1

  • Book
  • February 2022
  • 496 Pages
Data Mining. Concepts, Models, Methods, and Algorithms. Edition No. 3 - Product Thumbnail Image

Data Mining. Concepts, Models, Methods, and Algorithms. Edition No. 3

  • Book
  • December 2019
  • 672 Pages
Data Mining. Concepts, Models, Methods, and Algorithms. Edition No. 3 - Product Thumbnail Image

Data Mining. Concepts, Models, Methods, and Algorithms. Edition No. 3

  • Book
  • December 2019
  • 672 Pages
  • 3 Results (Page 1 of 1)
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Temporal Data Mining is a subset of Big Data that focuses on the analysis of data over time. It is used to identify patterns and trends in data that can be used to make predictions and decisions. Temporal Data Mining can be used to analyze customer behavior, market trends, and other time-sensitive data. It can also be used to detect anomalies and outliers in data. Temporal Data Mining can be used to identify correlations between different data points and to identify relationships between different data sets. Some companies in the Temporal Data Mining market include Microsoft, IBM, Oracle, SAP, and SAS. Show Less Read more