Mathematical tools for data mining: set theory, partial orders, combinatorics/

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Bibliografische gegevens
Hoofdauteur: Simovici, Dan A.
Andere auteurs: Djeraba, Chabane
Formaat: Printed Book
Gepubliceerd in: London: Springer-Verlag, 2013.
Editie:2nd ed.
Reeks:Advanced information and knowledge processing
Onderwerpen:
Data mining.
Partially ordered sets.
Metric spaces.
Set theory.
Online toegang:https://books.google.co.in/books?id=mue3BAAAQBAJ&pg=PR5&dq=Mathematical+tools+for+data+mining&hl=en&sa=X&ved=0ahUKEwj_md7igcrNAhXIsI8KHd3BA7AQ6AEINTAA#v=onepage&q=Mathematical%20tools%20for%20data%20mining&f=false

Internet

https://books.google.co.in/books?id=mue3BAAAQBAJ&pg=PR5&dq=Mathematical+tools+for+data+mining&hl=en&sa=X&ved=0ahUKEwj_md7igcrNAhXIsI8KHd3BA7AQ6AEINTAA#v=onepage&q=Mathematical%20tools%20for%20data%20mining&f=false

MG University

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Plaatsingsnummer: 006.312 Q42
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