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

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Bibliographic Details
Main Author: Simovici, Dan A.
Other Authors: Djeraba, Chabane
Format: Printed Book
Published: London: Springer-Verlag, 2013.
Edition:2nd ed.
Series:Advanced information and knowledge processing
Subjects:
Data mining.
Partially ordered sets.
Metric spaces.
Set theory.
Online Access: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
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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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Call Number: 006.312 Q42
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