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Data Mining and Business Analytics with R#Johannes Ledolter
Data Mining and Business Analytics with R #368 pages #2013
#1118572157, 9781118572153 #Johannes Ledolter #John Wiley & Sons,
2013 #Showcases R's critical role in the world of business 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. file download lecira.pdf
Statistical Methods for Forecasting #Bovas Abraham, Johannes Ledolter
#Sep 25, 2009 #ISBN:9780470317297 #464 pages #Mathematics Data
Mining and Business Analytics with R pdf
Claude Burrill, Johannes Ledolter #Achieving Quality Through
Continual Improvement #Take a look at the cover of this book,
particularly the two images you see there. One image is of electronic
components, which makes sense-quality management has been an #640
pages #Jul 27, 1998 #ISBN:0471092207 #Business & Economics
ISBN:9780321831477 #Nov 21, 2011 #This is the eBook of the printed
book and may not include any media, website access codes, or print
supplements that may come packaged with the bound book. This hugely
#Robert V. Hogg, Johannes Ledolter #Applied Statistics for Engineers
and Physical Scientists #Computers #608 pages Mining pdf download
Business & Economics #Johannes Ledolter, Arthur J. Swersey #2007
#Testing 1-2-3 #ISBN:0804756120 #300 pages #Experimental Design
with Applications in Marketing and Service Operations #This book gives
students, practitioners, and managers a set of practical and valuable tools
for designing and analyzing experiments, emphasizing applications in
marketing and
ISBN:9781461443438 #A Ohri #R for Business Analytics #Sep 14, 2012
#312 pages #R for Business Analytics looks at some of the most common
tasks performed by business analysts and helps the user navigate the
wealth of information in R and its 4000 packages #Mathematics
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Mastering Predictive Analytics with R #Jun 17, 2015 #Rui Miguel Forte
#R offers a free and open source environment that is perfect for both
learning and deploying predictive modeling solutions in the real world.
With its constantly growing #414 pages #ISBN:9781783982813
#Computers Business with
ISBN:9780133760668 #Business & Economics #Nov 17, 2014
#Business Analytics with Management Science Models and Methods
#Arben Asllani #400 pages #Master decision modeling and analytics
through realistic examples, intuitive explanations, and tested Excel
templates. Business Analytics with Management Science has been
Annotation Provides an overview of data mining technology and how it is
applied in a business environment. Material is not written in a technical
style, but rather addresses #A Guide to Productivity #166 pages #Data
Mining and Business Intelligence #Stephan Kudyba, Richard Hoptroff
#Computers #ISBN:1930708033 #2001 and R Data Mining and Business
Analytics with R pdf download
315 pages #Econophysics Approaches to Large-Scale Business Data and
Financial Crisis #Science #Proceedings of Tokyo Tech-Hitotsubashi
Interdisciplinary Conference + APFA7 #ISBN:4431538534 #In recent
years, as part of the increasing informationization of industry and the
economy, enterprises have been accumulating vast amounts of detailed
data such as high #Misako Tokyo Institute of Technology, Tsutomu
Watanabe, Hideki Takayasu #Apr 27, 2010
624 pages #Massive data sets pose a great challenge to many
cross-disciplinary fields, including statistics. The high dimensionality and
different data types and structures have now #Hamparsum Bozdogan
#Business & Economics #Statistical Data Mining and Knowledge
Discovery #ISBN:9780203497159 #Jul 29, 2003
Feb 27, 2009 #ISBN:9780387096087 #Simon Sheather #A Modern
Approach to Regression with R #Mathematics #This book focuses on
tools and techniques for building regression models using real-world data
and assessing their validity. A key theme throughout the book is that it
makes #393 pages
Business & Economics #RapidMiner #Markus Hofmann, Ralf
Klinkenberg #525 pages #Powerful, Flexible Tools for a Data-Driven
World As the data deluge continues in todays world, the need to master
data mining, predictive analytics, and business analytics has #Data
Mining Use Cases and Business Analytics Applications #Oct 25, 2013
#ISBN:9781482205503
CORNELL:31924004744326 #1977 #The analysis of multivariate time
series with a view to applications in hydrology #33 pages #Johannes
Ledolter #Mathematics Data Mining and Business Analytics with R
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1975 #442 pages #Johannes Ledolter #WISC:89010824662 #Time-series
analysis #Topics in Time Series Analysis pdf file
UOM:39015036046111 #Statistical quality control #Johannes Ledolter,
Claude W. Burrill #Technology & Engineering #This text provides the
reader with a general and widely-applicable problem solving strategy for
use in quality improvement. It covers a variety of statistical and "non
#1999 #526 pages #strategies and tools for continual improvement Data
Analytics Data Mining and Business Analytics with R pdf file
Wavelet Methods in Statistics with R #This book contains information on
how to tackle many important problems using a multiscale statistical
approach. It focuses on how to use multiscale methods and discusses
#Mathematics #ISBN:9780387759616 #259 pages #Jul 25, 2010 #Guy
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