Base R must be installed. The code in this book was written using R version 3.4.1 (2017-06-30), single candle, on a Mac OS darwin15.6.0. They should be compatible with Linux and Windows operating systems. RStudio Version 0.99.491 was used as an editor to write and compile R code.
- Preface
- Association Rule Mining
- Fuzzy Logic Induced Content-Based Recommendation
- Collaborative Filtering
- Taming Time Series Data Using Deep Neural Networks
- Twitter Text Sentiment Classification Using Kernel Density Estimates
- Record Linkage - Stochastic and Machine Learning Approaches
- Streaming Data Clustering Analysis in R
- Analyze and Understand Networks Using R
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