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Core Data Analysis: Summarization, Correlation, and Visualization

This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathema...

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Bibliographic Details
Main Author: Mirkin, Boris
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:2nd ed. 2019
Series:Undergraduate Topics in Computer Science
Subjects:
Artificial Intelligence / Data Processing
Computer Science / Mathematics
Data Mining
Mathematical Applications In Computer Science
Data Protection
Data Mining And Knowledge Discovery
Data And Information Security
Data Science
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Topics in Data Analysis Substance
  • Quantitative Summarization
  • Learning Correlations
  • Core Partitioning: K-Means and Similarity Clustering
  • Divisive and Separate Cluster Structures
  • Appendix. Basic Math and Code
  • Index

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