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Information Technology

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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.

Data Mining Applications with R

POST SECONDARY FOUR YEAR

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DATA MINING APPLICATIONS WITH R

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Preface.
Acknowledgments.
Review Committee.
Foreword.
1: Power Grid Data Analysis with R and Hadoop.
2: Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization.
3: Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining, Topic Modeling, and Social Network Analysis of Microblog Content.
4: Text Mining and Network Analysis of Digital Libraries in R.
5: Recommender Systems in R.
6: Response Modeling in Direct Marketing: A Data Mining-Based Approach for Target Selection.
7: Caravan Insurance Customer Profile Modeling with R.
8: Selecting Best Features for Predicting Bank Loan Default.
9: A Choquet Integral Toolbox and Its Application in Customer Preference Analysis.
10: A Real-Time Property Value Index Based on Web Data.
11: Predicting Seabed Hardness Using Random Forest in R.
12: Supervised Classification of Images, Applied to Plankton Samples Using R and Zooimage.
13: Crime Analyses Using R.
14: Football Mining with R.
15: Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization.
Index.

Data Mining Applications with R.css-1p8rvzy{position:absolute;padding-left:8px;}

Data Mining Applications with R