You May Also Like
Sponsored
Sold by Mighty Ape
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
Author Biography
Daniel T. Larose earned his PhD in Statistics at theUniversity of Connecticut. He is Professor of Mathematical Sciencesand Director of the Data Mining programs at Central ConnecticutState University. His consulting clients have includedMicrosoft, Forbes Magazine, the CIT Group, KPMGInternational, Computer Associates, and Deloitte, Inc. This isLarose s fourth book for Wiley. Chantal D. Larose is a PhD candidate in Statistics at theUniversity of Connecticut. Her research focuses on the imputationof missing data and model-based clustering. She has taughtundergraduate statistics since 2011, and has done statisticalconsulting for DataMiningConsultant.com, LLC.
We are committed to protecting your rights under the Consumer Guarantees Act and working with our suppliers to assist with warranty claims. Products sold by Mighty Ape will be covered by a Manufacturer's Warranty for at least a one-year period from the date of purchase.
Your warranty will cover any manufacturing defects which, if existing, will present themselves within this warranty period.
Your warranty will not cover normal wear and tear, faults caused by misuse, and accidents which cause damage or theft caused after delivery. Using the product in a way it is not designed for will void your warranty.
Please refer to our Help Centre for more information.
