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Mathematical tools for data mining [Elektronski vir] : set theory, partial orders, combinatoricsSimovici, Dan A.The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their ... associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these mathematical foundations of data mining integrated with applications to provide the reader with a comprehensive reference. Mathematics is presented in a thorough and rigorous manner offering a detailed explanation of each topic, with applications to daVrsta gradiva - e-knjigaZaložništvo in izdelava - London : Springer, ©2008Jezik - angleškiISBN - 978-1-84800-201-2; 1-84800-201-7; 978-1-84800-200-5; 1-84800-200-9COBISS.SI-ID - 1540929247
Povezava(-e):
SpringerLink e-books 2008-2012Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij
Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions
DOI
Avtor
Simovici, Dan A.
Drugi avtorji
Djeraba, Chabane
Teme
Data mining |
Partially ordered sets |
Metric spaces |
Set theory |
Computational Mathematics and Numerical Analysis |
Data Mining and Knowledge Discovery |
Discrete Mathematics in Computer Science |
Mathematics of Computing |
COMPUTERS |
Desktop Applications |
Databases |
COMPUTERS |
Database Management |
General |
COMPUTERS |
System Administration |
Storage & Retrieval |
Informatique |
Data mining |
Metric spaces |
Partially ordered sets |
Set theory |
Partially ordered sets |
Metric spaces |
Set theory |
Electronic books |
Data mining |
Electronic books
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