Data Mining and Business Analytics with R by Johannes Ledolter - PDF free download eBook

Book author:

  • Published: Dec 26, 2015
  • Reviews: 448

Brief introduction:

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the...

more details below

Details of Data Mining and Business Analytics with R

ISBN
9781118447147
Publication date
Age range
18+ Years
Book language
EN
Pages
368
Format
PDF, DJVU, RTF, TXT
Quality
Normal quality scanned pages
Dimensions
15.00 (w) x 9.40 (h) x 0.80 (d)
Download cursor

Some brief overview of this book

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:

• A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools

• Illustrations of how to use the outlined concepts in real-world situations

• Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials

• Numerous exercises to help readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

See more interesting books:

  • Cooking Up U.S. History: Recipes and Research to Share with Children PDF
  • Faith of Graffiti PDF
  • Sons of Destiny (Cirque Du Freak Series #12) PDF
  • Body for Life PDF
  • Killing Honor PDF
  • The Walk PDF

How to download e-book

Press button "GET DOWNLOAD LINKS" and wait 20 seconds. This time is necessary for searching and sorting links. One button - 15 links for downloading the book "Data Mining and Business Analytics with R" in all e-book formats!

May need free signup required to download or reading online book.

A few words about book author

JOHANNES LEDOLTER, PhD, is Professor in both the Department of Management Sciences and the Department of Statistics and Actuarial Science at the University of Iowa. He is a Fellow of the American Statistical Association and the American Society for Quality, and an Elected Member of the International Statistical Institute. Dr. Ledolter is the coauthor of Statistical Methods for Forecasting, Achieving Quality Through Continual Improvement, and Statistical Quality Control: Strategies and Tools ftion.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:

• A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools

• Illustrations of how to use the outlined concepts in real-world situations

• Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials

• Numerous exercises to help readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

Small FAQ about download

Book files are stored on servers owned by you?
No. We do not store files, because it is prohibited. Our site uses the API of third-party sites that store files. That is, we are doing the same thing as Google, only within the framework of one subject. Third-party sites are multimedia services that allow you to read and download e-books. By subscribing, you get access to a huge library of multimedia content, which is updated daily. Services are fully optimized for all platforms - iOS, Android and PC.
If there is a choice of file format, which format is better to download?
Modern smartphones and computers can read files of any format. But the most compatible is the *.PDF format. For example, the PDF format can be read Mozilla Firefox browser without any additions.
How long will the file be downloaded?
Very fast. We regularly check (this is a fully automatic process) the availability of servers, the links to which we offer you. If the server does not provide a quick download, then we remove it from the list.
Does the electronic version of the book completely replace the paper version?
Of course not. Best of all, if after reading an e-book, you buy a paper version of Data Mining and Business Analytics with R. Read the book on paper - it is quite a powerful experience.

All downloaded files are checked

EPUB

data.mining.business.analytics.with.epub

  • MD5: 1e1e677ca5da8d5ed99da9459824828f
  • SHA1: 67f2c03f94cc504369cf8aa16d3bcf94d0cd5f0e
checkcheckcheckcheckcheck
PDF

data.mining.business.analytics.with.pdf

  • MD5: bb62daba4cfce564f33bec79a858c04a
  • SHA1: 99dbfbb118d8cee1bc0689335e639aeb120c6fd1
checkcheckcheckcheckcheck
FB2

data.mining.business.analytics.with.fb2

  • MD5: 886732148a73d037a2b9df1a7151da0f
  • SHA1: 8fa8a48117fed0eeb4e43f042179f9b1fc249dda
checkcheckcheckcheckcheck
MOBI

data.mining.business.analytics.with.mobi

  • MD5: a1d997c979628be922e99c48303b43ef
  • SHA1: 72e43938010eeae5fb7882bfe3b37fe881200739
checkcheckcheckcheckcheck
DJVU

data.mining.business.analytics.with.djvu

  • MD5: 11e11ba021e1f2d2bc864709d9fbe7a4
  • SHA1: 904148a1906a4ec07ee4df847c408859a86a4f4f
checkcheckcheckcheckcheck