Data mining methods and models

Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategi...

Szczegółowa specyfikacja

Zapisane w:
Opis bibliograficzny
1. autor: Larose, Daniel T.
Format: Książka
Język:Undetermined
Wydane: Hoboken, NJ Wiley-Interscience 2006
Hasła przedmiotowe:
Etykiety: Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
Opis
Streszczenie:Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategic Risk Assessment based on Organizational Modelling. A companion Web site features downloads of large data sets used in the chapter projects, with a discussion area and message board, where readers are encouraged to exchange ideas