Search Books
Introduction to Probability… Exterior Analysis: Using Ap…

Data Mining Applications with R

Author Yanchang Zhao, Yonghua Cen
Publisher Academic Press
Category Mathematics
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
74.04 79.95 USD
🛒 Buy New on Amazon 🇺🇸 🏷 Buy Used — $24.95

✓ Usually ships in 24 hours

Share:
Book Details
ISBN / ASIN012411511X
ISBN-139780124115118
AvailabilityUsually ships in 24 hours
Sales Rank1,186,904
CategoryMathematics
MarketplaceUnited States 🇺🇸

Description

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more.

This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. The book
  • Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
  • Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
  • Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves
R code, Data and color figures for the book are provided at the RDataMining.com website.
Worksheets for Classroom or Lab Practice for Elementar…
View
The Visual Display of Quantitative Information, 2nd Ed.
View
Excel Manual for Elementary Statistics: Picturing the …
View
Handbook of Categorical Algebra: Volume 3, Sheaf Theor…
View
Intermediate Algebra for College Students (3rd Edition)
View
Applied Statistics: From Bivariate Through Multivariat…
View
MyWorkBook for Developmental Mathematics
View
Algebra and Number Theory: An Integrated Approach
View