KI-Beratung Beta

Produktbild: Introduction to Data Mining, Global Edition
- 15%

Introduction to Data Mining, Global Edition

15% sparen

82,99 € UVP 97,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters,...

Beschreibung

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2019

Verlag Pearson Education Limited
Seitenzahl

864

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2019

Verlag Pearson Education Limited
Seitenzahl

864

Maße (L/B/H)

23,5/19,5/4,6 cm

Gewicht

1200 g

Auflage

2

Sprache

Englisch

ISBN

978-0-273-76922-4

Herstelleradresse

Financial Times Prent.
St.-Martin-Straße 82
81541 München
DE

Email: salesde@pearson.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Introduction to Data Mining, Global Edition
    • 1 Introduction
    • 2 Data
    • 3 Classification: Basic Concepts and Techniques
    • 4 Association Analysis: Basic Concepts and Algorithms
    • 5 Cluster Analysis: Basic Concepts and Algorithms
    • 6 Classification: Alternative Techniques
    • 7 Association Analysis: Advanced Concepts
    • 8 Cluster Analysis: Additional Issues and Algorithms
    • 9 Anomaly Detection
    • 10 Avoiding False Discoveries
    • Author Index