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R and Data Mining

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for;

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;

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R Data Mining

Mine valuable insights from your data using popular tools and techniques in R About This Book * Understand the basics of data mining;

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Data Mining with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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Data Mining with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Data Mining and Business Analytics with R

and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;

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Data Mining Algorithms

demonstrating the internal operation and usage of data mining algorithms using examples in R.;

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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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Mastering Text Mining with R

an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book;

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Practical Graph Mining with R

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach;

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Data Mining on Multimedia Data

Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from;

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Data Mining and Data Warehousing Principles and Practical Techniques

analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big;

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Data Mining Models

. R is much more powerful and is a commercially viable data mining tool. We also demonstrate WEKA, which is a highly useful academic software;

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R 4 Data Science Quick Reference

data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with;

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Statistical Data Analytics

introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are;

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Learn R for Applied Statistics

data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics;

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Data Mining

8627A-4 Finally, here's a book that explains in plain English what data mining is and how it's used to improve a company's bottom line;

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R 4 Data Science Quick Reference

then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications;

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Educational Data Mining with R and Rattle

mining implementation using R and Rattle open source data mining tools. . Technical topics discussed in the book include: * Emerging Research;

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Data Mining Mobile Devices

that can provide marketers with detailed information about the products, content, and services their customers desire. Data Mining Mobile;

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Data Mining Mobile Devices

that can provide marketers with detailed information about the products, content, and services their customers desire. Data Mining Mobile;

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Data Mining with Microsoft SQL Server 2000 Technical Reference

With its state-of-the-art capabilities for rapidly processing and retrieving huge quantities of data, Microsoft(R) SQL Server 2000;

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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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Customer And Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Customer and Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Learning Predictive Analytics with R

fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes;

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