Data Analysis: A Roadmap to Better Decision-Making

Tal Ben-Zvi

ISBN 10: 3848439263 / ISBN 13: 9783848439263

Editore: LAP LAMBERT Academic Publishing Mär 2012, 2012

Riguardo questo articolo

Neuware -This book investigates how data and information are transformed into knowledge that supports decision-making processes. The ¿information revolution¿ renders information a common product: it is easily supplied, accumulated, processed and managed. In recent years, the amount of data has been growing exponentially. Traditional methods of data analysis rely primarily on slower, more expensive manual investigation and analysis. These limitations make the traditional methods impractical. This book provides an alternative approach and presents a novel framework to advance data analysis through the knowledge discovery process. This work borrows ideas from related fields, such as Operations Research and Information Theory. Grounded in these disciplines and formal mathematical expressions, this work presents a comprehensive model and corresponding design tools. Last, this book enables a rigorous exploration of data analysis and knowledge discovery tools which provide a roadmap to better decision-making.Books on Demand GmbH, Überseering 33, 22297 Hamburg 304 pp. Englisch.

Codice articolo 9783848439263

Dati bibliografici

• Titolo: Data Analysis: A Roadmap to Better Decision-Making
• Editore: LAP LAMBERT Academic Publishing Mär 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3848439263
• ISBN 13: 9783848439263
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 19 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 19 millimetri di profondità
• Peso: 471 grammi

Descrizione articolo

Riassunto

This book investigates how data and information are transformed into knowledge that supports decision-making processes. The “information revolution” renders information a common product: it is easily supplied, accumulated, processed and managed. In recent years, the amount of data has been growing exponentially. Traditional methods of data analysis rely primarily on slower, more expensive manual investigation and analysis. These limitations make the traditional methods impractical. This book provides an alternative approach and presents a novel framework to advance data analysis through the knowledge discovery process. This work borrows ideas from related fields, such as Operations Research and Information Theory. Grounded in these disciplines and formal mathematical expressions, this work presents a comprehensive model and corresponding design tools. Last, this book enables a rigorous exploration of data analysis and knowledge discovery tools which provide a roadmap to better decision-making.

L'autore

Stevens Institute of Technology, Hoboken, NJ.