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...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Larose, Daniel T.
বিন্যাস: গ্রন্থ
ভাষা:Undetermined
প্রকাশিত: Hoboken, NJ Wiley-Interscience 2006
বিষয়গুলি:
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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082 |b L326 
100 |a Larose, Daniel T. 
245 0 |a Data mining methods and models 
245 0 |c Daniel T. Larose 
260 |a Hoboken, NJ 
260 |b Wiley-Interscience 
260 |c 2006 
520 |a 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 
526 |a Khai thác tri thức từ dữ liệu (Knowledge discovery in DataBase) 
526 |b CT902 
650 |a Data mining,Khai thác dữ liệu 
904 |i Trọng Hải 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ