Студенческий сайт КФУ - ex ТНУ » Учебный раздел » Учебные файлы »ОС И БД

Data Mining Using SAS Enterprise Miner

Randall Matignon
Тип: PDF
Категория: ОС И БД
Скачать
Купить
The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis.
Другие файлы:

Introduction to Data Mining Using SAS Enterprise Miner
If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Int...

Applied Data Mining
The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining...

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains
Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to gle...

Data mining
Data mining, developmental history of data mining and knowledge discovery. Technological elements and methods of data mining. Steps in knowledge disco...

The Handbook of Data Mining
Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of D...