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Results for tag: "Symbolic Data Analysis"

Data Analysis and Applications 1. Clustering and Regression, Modeling-estimating, Forecasting and Data Mining. Edition No. 1 - Product Thumbnail Image

Data Analysis and Applications 1. Clustering and Regression, Modeling-estimating, Forecasting and Data Mining. Edition No. 1

  • Book
  • February 2019
  • 286 Pages
  • 1 Results (Page 1 of 1)
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Symbolic Data Analysis (SDA) is a type of data analytics that uses symbolic methods to analyze data. It is used to identify patterns and relationships in data that are not easily detected by traditional statistical methods. SDA is used to uncover hidden knowledge in data, such as trends, correlations, and outliers. It is also used to identify relationships between variables that are not easily detected by traditional methods. SDA is used in a variety of industries, including finance, healthcare, and retail. It is used to identify patterns in customer behavior, detect fraud, and improve customer experience. It is also used to identify relationships between variables that are not easily detected by traditional methods. Some companies in the Symbolic Data Analysis market include IBM, Microsoft, Oracle, SAS, and SAP. Show Less Read more