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Data science foundations geometry and topology of complex hierarchic systems and big data analytics

By: Material type: TextTextLanguage: English Language Series: Series in computer science and data analysisPublication details: Boca Raton, FL : CRC Press, CRC Press 2018Description: xviii, 205 p. 26 cmISBN:
  • 9781498763936
Subject(s): DDC classification:
  • 005.701514 MUR
Summary: ""Data Science Foundations?is most welcome and, indeed, a piece of literature that the field is very much in need of ... quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods ... a very useful text and I would certainly use it in my teaching."--Mark Girolami, Warwick UniversityData Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge."--Provided by publisher.
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 005.701514 MUR (Browse shelf(Opens below)) Available 112962
Sheduled Reference Sheduled Reference Applied Sciences Library Reference Section Reference Collection 005.701514 MUR (Browse shelf(Opens below)) Available 112963
Total holds: 0
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005.44769 NET Networking windows NT 4.0 005.7 BIG Big data analytics. 005.7 BIG Big data in complex and social networks 005.701514 MUR Data science foundations 005.73 BLA Patterns of data modeling 005.73 TEN Data structures using pascal 005.73 TEN Data structures using pascal

The correspondence analysis platform for mapping semantics --
Analysis and synthesis of narrative: semantics of interactivity --
Symmetry in data mining and analysis through hierarchy --
Geometry and topology of data analysis: in p-Adie terms --
Fast, linear time, m-adic hierarchical clustering --
Big data scaling through metric mapping --
On ultrametric algorithmic information --
Geometry and topology of Matte Blanco's bi-logic in psychoanalytics --
Ultrametric model of mind: application to text content analysis --
Concluding discussion on software environments.


""Data Science Foundations?is most welcome and, indeed, a piece of literature that the field is very much in need of ... quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods ... a very useful text and I would certainly use it in my teaching."--Mark Girolami, Warwick UniversityData Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge."--Provided by publisher.

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