DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Rattle Introduction Getting Started Interacting with Rattle Data Exploring Data Test Transforming Data Cluster Analysis Association Analysis Classification and Regression Models Evaluation and Deployment Issues Moving into R Troubleshooting Beyond Rattle R Getting Help Data Graphics in R Understanding Data Preparing Data Descriptive and Predictive Analytics Issues Evaluating Models Text Mining Text Mining Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models Neural Networks Support Vector Machines Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendices Installing Rattle Bibliography Index

Contents

• List of Figures
• List of Tables
• Rattle: Basic Data Mining
  • Introduction
  • Getting Started
  • Interacting with Rattle
  • Data
  • Exploring Data
  • Test
  • Transforming Data
  • Cluster Analysis
  • Association Analysis
  • Classification and Regression Models
  • Evaluation and Deployment
  • Issues
  • Moving into R
  • Troubleshooting
  
  
• Beyond Rattle: R for the Data Miner
  • R: The Language
  • Getting Help
  • Data
  • Graphics in R
  • Understanding Data
  • Preparing Data
  • Descriptive and Predictive Analytics
  • Cluster Analysis: K-Means
  • Association Analysis: Apriori
  • Classification: Decision Trees
  • Classification: Boosting
  • Classification: Random Forests
  • Issues
  • Evaluating Models
  
  
• Text Mining
  • Text Mining
  
  
• Algorithms
  • Bagging: Meta Algorithm
  • Bayes Classifier: Classification
  • Bootstrapping: Meta Algorithm
  • Cluster Analysis
  • Conditional Trees: Classification
  • Hierarchical Clustering: Clustering
  • K-Nearest Neighbours: Classification
  • Linear Models
  • Regression: Ordinal Regression
  • Regression: Logistic Regression
  • Neural Networks: Classification and Regression
  • Support Vector Machines: Classification
  
  
• Open Products
  • AlphaMiner
  • Borgelt Data Mining Suite: From University of Magdeburg
  • KNime
  • R: From the R Foundation
  • RapidMiner: From Rapid-I
  • Rattle: From Togaware
  • Weka: From University of Waikato
  
  
• Closed Products
  • C4.5: Classification
  • Clementine: From SPSS
  • Equbits Foresight: Tool from Equbits
  • GhostMiner: From Fujitsu
  • InductionEngine: Tool from PredictionWorks
  • ODM: Oracle Data Mining
  • Enterprise Miner: From SAS
  • Statistica Data Miner: From StatSoft
  • TreeNet: From Salford Systems
  • Virtual Predict: From Virtual Genetics
  
  
• Appendices
  • Installing Rattle
  
  
• Bibliography
• Index

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