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Discovering Knowledge in Data: An Introduction to Data Mining - Couverture rigide

Larose, Daniel T.; Larose, Chantal D.

 
9780470908747: Discovering Knowledge in Data: An Introduction to Data Mining
Couverture rigide
ISBN 10 : 0470908742 ISBN 13 : 9780470908747
Editeur : John Wiley & Sons Inc, 2014

Synopsis

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.

This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.
  • The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis.
  • Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization
  • Offers extensive coverage of the R statistical programming language
  • Contains 280 end-of-chapter exercises
  • Includes a companion website for university instructors who adopt the book

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Daniel T. Larose earned his PhD in Statistics at the University of Connecticut. He is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. His consulting clients have included Microsoft, Forbes Magazine, the CIT Group, KPMG International, Computer Associates, and Deloitte, Inc. This is Larose's fourth book for Wiley.

Chantal D. Larose is an Assistant Professor of Statistics & Data Science at Eastern Connecticut State University (ECSU). She has co-authored three books on data science and predictive analytics. She helped develop data science programs at ECSU and at SUNY New Paltz. She received her PhD in Statistics from the University of Connecticut, Storrs in 2015 (dissertation title: Model-based Clustering of Incomplete Data).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
John Wiley & Sons Inc
Date d'édition
2014
Langue
anglais
ISBN 10 
0470908742
ISBN 13 
9780470908747
Reliure
Relié
Numéro d'édition
2
Nombre de pages
336
Coordonnées du fabricant
non disponible
Personne responsable
Buchpark GmbH
gpsr@buchpark.de

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