Data mining techniques : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
Language: İngilizce Publisher: Indianapolis, Ind. : Wiley Pub., c2004Edition: 2nd edDescription: xxv, 643 p. : ill. ; 24 cmISBN:- 0471470643 (paper/website)
- HF5415.125 .B47 2004
Item type | Current library | Home library | Collection | Call number | Vol info | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|---|
![]() |
Merkez Kütüphane Genel Koleksiyon / Main Collection | Merkez Kütüphane | Genel Koleksiyon | HF5415.125 .B47 2004 (Browse shelf(Opens below)) | 1 | 1 | Available | 0027454 |
Browsing Merkez Kütüphane shelves, Shelving location: Genel Koleksiyon / Main Collection, Collection: Genel Koleksiyon Close shelf browser (Hides shelf browser)
No cover image available | ||||||||
HF5415.123 .T54 2010 Pazarlama iletişiminde şöhret figürü / | HF 5415.125 .A78 2023 Artificial intelligence for marketing management / | HF 5415.125 .B3342 2024 AI in digital marketing and advertising : navigating the new frontier / | HF5415.125 .B47 2004 Data mining techniques : for marketing, sales, and customer relationship management / | HF5415.125 .I58 2012 ITC Trade Map ile hedef pazar seçimi / | HF5415.125 .L54 2004 Marketing engineering : | HF5415.125 .L542 2007 Principles of marketing engineering / |
Includes 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.