Discovering Knowledge in Data
An Introduction to Data Mining
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 dat…
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Produktdetails
Weitere Autoren: Larose, Chantal D.
- ISBN: 978-1-118-87357-1
- EAN: 9781118873571
- Produktnummer: 16453919
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 336 S.
- Plattform: EPUB
- Masse: 10'525 KB
- Auflage: 2. Aufl.
Über den Autor
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).
22 weitere Werke von Daniel T. Larose:
Loose-Leaf Version for Discovering Statistics
An Introduction to Data Mining
An Introduction to Data Mining
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