Intro; Preface; Book Concept; Contents; About the Authors; 1 Knowledge Management; Computer Support Systems; Examples of Knowledge Management; Data Mining Descriptive Applications; Summary; References; 2 Data Visualization; Data Visualization; R Software; Loan Data; Energy Data; Basic Visualization of Time Series; Conclusion; References; 3 Market Basket Analysis; Definitions; Co-occurrence; Demonstration; Fit; Profit; Lift; Market Basket Limitations; References; 4 Recency Frequency and Monetary Analysis; Dataset 1; Balancing Cells; Lift; Value Function; Data Mining Classification Models
Link Analysis of Your EmailsLink Analysis Application with PolyAnalyst (Olson and Shi 2007); Summary; References; 8 Descriptive Data Mining
Logistic RegressionDecision Tree; Neural Networks; Dataset 2; Conclusions; References; 5 Association Rules; Methodology; The Apriori Algorithm; Association Rules from Software; Non-negative Matric Factorization; Conclusion; References; 6 Cluster Analysis; K-Means Clustering; A Clustering Algorithm; Loan Data; Clustering Methods Used in Software; Software; R (Rattle) K-Means Clustering; Other R Clustering Algorithms; KNIME; WEKA; Summary; References; 7 Link Analysis; Link Analysis Terms; Basic Network Graphics with NodeXL; Network Analysis of Facebook Network or Other Networks