Last edited by Sarg
Thursday, November 5, 2020 | History

3 edition of Mining social-driven data found in the catalog.

Mining social-driven data

MikoЕ‚aj Morzy

Mining social-driven data

  • 138 Want to read
  • 8 Currently reading

Published by Wydawn. Politechnika Poznańska in Poznań .
Written in English

    Subjects:
  • Web 2.0.,
  • Internet,
  • Online social networks,
  • Data mining

  • Edition Notes

    StatementMikołaj Morzy
    SeriesRozprawy / Politechnika Poznańska -- 430
    Classifications
    LC ClassificationsTK5105.88817 .M67 2009
    The Physical Object
    Pagination244 p. :
    Number of Pages244
    ID Numbers
    Open LibraryOL25137411M
    ISBN 108371438141
    ISBN 109788371438141
    LC Control Number2010457852


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Mining social-driven data by MikoЕ‚aj Morzy Download PDF EPUB FB2

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data Cited by: 9.

Mining Social Media will show you the kind of data that can be mined on the social web, the insights that can be gained from it, and the limitations of its scope. You'll learn how to find out what kind of data is available on popular social media.

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It is a book that covers many key topics and is easy to read. Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data.

This expert book Cited by: 4. This is a beautiful list of books that every aspiring data scientist should take note of, and add to his list of learning materials. What books have you read in order to help you begin your own journey in data mining. Social Media Mining in R provides a light theoretical background, comprehensive instruction, and state-of-the-art techniques, and by reading this book, you will be well equipped to embark on your own analyses of social media data.

The book begins by introducing you to the topic of social media data, including its sources and properties. It then explains the basics of R programming in a straightforward, unassuming way. Thereafter, you will be made aware of the inferential dangers associated with social media data and how to avoid them, before describing and implementing a suite of social media mining Cited by:.