Core Data Analysis: Summarization, Correlation, and Visualization

• Κύριος συγγραφέας: Mirkin, Boris (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 2nd ed. 2019.
• Σειρά: Undergraduate Topics in Computer Science,
• Θέματα: Data structures (Computer science).; Computer security.; Data mining.; Computer science-Mathematics.; Data Structures.; Systems and Data Security.; Data Mining and Knowledge Discovery.; Math Applications in Computer Science.

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...

Πίνακας περιεχομένων:

• 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.