Data mining techniques for marketing, sales, and customer relationship management /
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Searvvušdahkki: | |
| Eará dahkkit: | |
| Materiálatiipa: | Elektrovnnalaš E-girji |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Indianapolis, Ind. :
Wiley Pub.,
c2004.
|
| Preanttus: | 2nd ed. |
| Fáttát: | |
| Liŋkkat: | An electronic book accessible through the World Wide Web; click to view |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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Sisdoallologahallan:
- Why and what is data mining?
- The virtuous cycle of data mining
- Data mining methodology and best practices
- Data mining applications in marketing and customer relationship management
- The lure of statistics: data mining using familiar tools
- Decision trees
- Artificial neural networks
- Nearest neighbor approaches : memory-based reasoning and collaborative filtering
- Market basket analysis and association rules
- Link analysis
- Automatic Cluster detection
- Knowing when to worry: hazard functions and survival analysis in marketing
- Genetic algorithms
- Data mining throughout the customer life cycle
- Data warehousing, OLAP, and data mining
- Building the data mining environment
- Preparing data for mining
- Putting data mining to work.