Data Mining Techniques: For Marketing, Sales, and Customer Relationship ManagementJohn Wiley & Sons, 2004. ápr. 9. - 643 oldal
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Tartalomjegyzék
For Marketing Sales and Customer Relationship Management Second Edition Chapter 1 Why and What Is Data Mining? | 1 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 2 The Virtuous Cycle of Data Mining | 21 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 3 Data Mining Methodology and Best Practices | 43 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 4 Data Mining Applications in Marketing and Customer Relati... | 87 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 5 The Lure of Statistics Data Mining Using Familiar Tools | 123 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 6 Decision Trees | 165 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 7 Artificial Neural Networks | 211 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 8 Nearest Neighbor Approaches MemoryBased Reasoning and ... | 257 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 11 Automatic Cluster Detection | 349 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 12 Knowing When to Worry Hazard Functions and Survival A... | 383 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 13 Genetic Algorithms | 421 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 14 Data Mining throughout the Customer Life Cycle | 447 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 15 Data Warehousing OLAP and Data Mining | 473 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 16 Building the Data Mining Environment | 513 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 17 Preparing Data for Mining | 539 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 18 Putting Data Mining to Work | 597 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 9 Market Basket Analysis and Association Rules | 287 |
For Marketing Sales and Customer Relationship Management Second Edition Chapter 10 Link Analysis | 321 |
Más kiadások - Összes megtekintése
Data Mining Techniques: For Marketing, Sales, and Customer Relationship ... Michael J. A. Berry,Gordon S. Linoff Korlátozott előnézet - 2004 |
Data Mining Techniques: For Marketing, Sales, and Customer Relationship ... Michael J. A. Berry,Gordon S. Linoff Nincs elérhető előnézet - 2004 |
Gyakori szavak és kifejezések
applications approach association rules average billing building calculate call detail records campaign categorical chapter chi-square churn classification clusters columns combination create credit card customer behavior customer relationship customer relationship management customer signature data marts data mining techniques data mining tools data warehouse data warehousing decision tree described detail dimensions direct mail estimate example fields Figure fitness function genetic algorithms genomes graph hazards identify important input instance look market basket analysis measure model set month neighbors neural network node OLAP output p-value particular patterns percent population possible predictive prospects purchase records response rate retention curve sample score segments shows similar split statistical stops survival analysis Table target variable telephone number tenure tion tomers training set transactions types understanding users validation set values weights zip code