Data mining techniques: For marketing, sales, and customer relationship management Michael J.A. Berry, Gordon S. Linoff
Publication details: Indianapolis Wiley Publishing c2004Edition: 2nd edDescription: xxv, 643 p ill 24 cmISBN:- 0471470643 (paper/website)
- 658.802
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Carti | IMAR | II 35042 (Browse shelf(Opens below)) | 1 | Checked out | 03/26/2025 | 0000709 |
Browsing IMAR shelves Close shelf browser (Hides shelf browser)
eng
Contine Index
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
There are no comments on this title.