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Introduction: What Is Core

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Book cover Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This is an introductory chapter in which(i)Goals of data analysis as a tool helping to enhance and augment knowledge of the domain are outlined. Since knowledge is represented by the concepts and statements of relation between them, two main pathways for data analysis are summarization, for developing and augmenting concepts, and correlation, for enhancing and establishing relations. (ii)A set of seven cases involving small datasets and related data analysis problems is presented. The datasets are taken from various fields such as monitoring market towns, computer security protocols, bioinformatics, cognitive psychology. (iii)An overview of data visualization, its goals and some techniques is given.

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Authors and Affiliations

  1. Research University – Higher School of Economics, School of Applied Mathematics and Informatics, 11 Pokrovsky Boulevard, Moscow, RF, Russia

    Boris Mirkin

  2. Department of Computer Science, Birkbeck University of London, Malet Street, London, UK

    Boris Mirkin

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  1. Boris Mirkin
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© 2011 Springer-Verlag London Limited

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Mirkin, B. (2011). Introduction: What Is Core. In: Core Concepts in Data Analysis: Summarization, Correlation and Visualization. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-0-85729-287-2_1

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  • DOI: https://doi.org/10.1007/978-0-85729-287-2_1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-286-5

  • Online ISBN: 978-0-85729-287-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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