DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining 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 Appendicies Glossary Bibliography Index

Contents

• List of Figures
• List of Tables
• Data Mining
  • Data Mining
  
  
• Data Mining with Rattle
  • Introduction
  • Data
  • Transform
  • Explore
  • A Model Building Framework
  • Unsupervised Modelling
  • Two Class Models
  • Multi Class Models
  • Regression Models
  • Text Mining
  • Evaluation and Deployment
  • Moving into R
  • Troubleshooting
  
  
• R for the Data Miner
  • R: An Introduction to the Language
  • Data
  • Graphics in R
  • Understanding Data
  • Preparing Data
  • Building Models
  • Evaluating Models
  
  
• Algorithms
  • Apriori: Association Analysis
  • Bagging: Meta Algorithm
  • Bayes Classifier: Classification
  • Boosting: Meta Algorithm
  • Bootstrapping: Meta Algorithm
  • Cluster Analysis
  • Conditional Trees: Classification
  • Hierarchical Clustering: Clustering
  • K-Means: Clustering
  • K-Nearest Neighbours: Classification
  • Linear Models
  • Logistic Regression: Regression
  • Neural Networks: Classification and Regression
  • Random Forests: Classification
  • Support Vector Machines: Classification
  • Text Mining
  
  
• Open Products
  • AlphaMiner
  • Borgelt Data Mining Suite: From University of Magdeburg
  • KNime
  • R: From the R Foundation
  • 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
  
  
• Appendicies
  • Glossary
  
  
• Bibliography
• Index

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