Lets Explore,

Data Mining and Predictive Analytics, 2nd Ed

(Paperback)

Daniel T. Larose, Chantal D. Larose,

Wiley India Pvt. Ltd (Publisher)

Published

2016

Reviews

4.833333492279053

6 reviews

Computing and Information Technology Databases Data mining

By: Daniel T. Larose, Chantal D. Larose | Publisher: Wiley India Pvt. Ltd | Released: 05 Jan 2016

Ships within 2-4 days

Out Of Stock

₹543.00

₹799.00

32% off

This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review.

·Data Preparation
·Statistical Analysis
·Classification
·Clustering
·Association Rules
·Enhancing Model Performance
·Further Topics

About the Author

Daniel T. Larose is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. In addition to his scholarly work, Dr. Larose is a consultant in data mining and statistical analysis working with many high profile clients, including Microsoft, Forbes Magazine, the CIT Group, KPMG International, Computer Associates and Deloitte, Inc. Chantal D. Larose is a candidate in Statistics at the University of Connecticut. Her research focuses on the imputation of missing data and model-based clustering. She has taught undergraduate statistics since 2011 and is a statistical consultant for DataMiningConsultant.com, LLC.