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R and Data Mining: Examples and Case Studies Book

R and Data Mining: Examples and Case Studies
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R and Data Mining: Examples and Case Studies, R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia, R and Data Mining: Examples and Case Studies
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  • R and Data Mining: Examples and Case Studies
  • Written by author Yanchang Zhao
  • Published by Elsevier Science, 12/26/2012
  • R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia
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  1. Introduction
    1. Introduction, Data mining
      1. R
      2. Datasets used in this book
  2. Data Loading and Exploration
    1. Data Import/Export
      1. Save/Load R Data
      2. Import from and Export to .CSV Files
      3. Import Data from SAS
      4. Import/Export via ODBC
    2. Data Exploration
      1. Have a Look at Data
      2. Explore Individual Variables
      3. Explore Multiple Variables
      4. More Exploration
      5. Save Charts as Files
  3. Data Mining Examples
    1. Decision Trees
      1. Building Decision Trees with Package party
      2. Building Decision Trees with Package rpart
      3. Random Forest
    2. Regression
      1. Linear Regression
      2. Logistic Regression
      3. Generalized Linear Regression
      4. Non-linear Regression
    3. Clustering
      1. K-means Clustering
      2. Hierarchical Clustering
      3. Density-based Clustering
    4. Outlier Detection
    5. Time Series Analysis
      1. Time Series Decomposition
      2. Time Series Forecast
    6. Association Rules
    7. Sequential Patterns
    8. Text Mining
    9. Social Network Analysis
  4. Case Studies
    1. Case Study I: Analysis and Forecasting of House Price Indices
      1. Reading Data from a CSV File
      2. Data Exploration
      3. Time Series Decomposition
      4. Time Series Forecasting
      5. Discussion
    2. Case Study II: Customer Response Prediction
    3. Case Study III: Risk Rating using Decision Tree with Limited Resources
    4. Customer Behaviour Prediction and Intervention
  5. Appendix
    1. Online Resources
    2. R Reference Card for Data Mining

Bibliography


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R and Data Mining: Examples and Case Studies, <i>R and Data Mining</i> introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia, R and Data Mining: Examples and Case Studies

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R and Data Mining: Examples and Case Studies, <i>R and Data Mining</i> introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia, R and Data Mining: Examples and Case Studies

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R and Data Mining: Examples and Case Studies, <i>R and Data Mining</i> introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia, R and Data Mining: Examples and Case Studies

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