Könyv Mathematical Tools for Data Mining Dan A. Simovici

Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
50 066 Ft
Data mining essentially relies on several mathematical disciplines, many of which are presented in t...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2016
oldal
831
EAN
9781447171348
ISBN
1447171349
Enbook ID
14166613
Súly
1287
Méretek
155 x 235 x 46

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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