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DATA SCIENCE
FOUNDATIONS
Geometry and Topology
of Complex Hierarchic Systems
and Big Data Analytics
Chapman & Hall/CRC
Computer Science and Data Analysis Series
The interface between the computer and statistical sciences is increasing, as each
discipline seeks to harness the power and resources of the other. This series aims to
foster the integration between the computer sciences and statistical, numerical, and
probabilistic methods by publishing a broad range of reference works, textbooks, and
handbooks.
SERIES EDITORS
David Blei, Princeton University
David Madigan, Rutgers University
Marina Meila, University of Washington
Fionn Murtagh, Royal Holloway, University of London
Proposals for the series should be sent directly to one of the series editors above, or submitted to:
Chapman & Hall/CRC
Taylor and Francis Group
3 Park Square, Milton Park
Abingdon, OX14 4RN, UK
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Data Science Foundations: Geometry and Topology of Complex Hierarchic
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