Könyv Mathematical Tools for Data Mining Dan A. Simovici

Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
69 109 Ft
Data mining essentially relies on several mathematical disciplines, many of which are presented in t...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2014
oldal
831
EAN
9781447164067
ISBN
1447164067
Enbook ID
02525857
Súly
1394
Méretek
239 x 164 x 49

Teljes leírás

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.

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