Több mint 10 millió cím angol és más nyelveken! Fedezd fel új történetedet még ma!

Descriptive Data Mining

Name: Descriptive Data Mining
Brand: Springer Verlag, Singapore
SKU: 9789811371806
Price: 53808 HUF
Availability: InStock

Szerző: David L. Olson, Georg Lauhoff

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Verlag, Singapore

Elérhetőség: Beszállítói készleten

Küldés 14-21 napon belül

53 808 Ft

This book provides an overview of data mining methods demonstrated by software. Knowledge management...

Információk a könyvről

Szerző

David L. Olson, Georg Lauhoff

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2019

oldal

130

EAN

9789811371806

ISBN

9811371806

Enbook ID

21379897

Kiadó

Springer Verlag, Singapore

Súly

389

Méretek

155 x 235 x 14

Teljes leírás

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics.The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Descriptive Data Mining

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták