Добро пожаловать в клуб

Показать / Спрятать  Домой  Новости Статьи Файлы Форум Web ссылки F.A.Q. Логобург    Показать / Спрятать

       
Поиск   
Главное меню
ДомойНовостиСтатьиПостановка звуковФайлыКнижный мирФорумСловарьРассылкаКаталог ссылокРейтинг пользователейЧаВо(FAQ)КонкурсWeb магазинКарта сайта

Поздравляем!
Поздравляем нового Логобуржца Голуб.Ок. со вступлением в клуб!

Реклама

КНИЖНЫЙ МИР

Insight into Data Preprocessing: Theory and Practice   Appavu Balamurugan S. and Arockia Christopher A.B.

Insight into Data Preprocessing: Theory and Practice

72 страниц. 2012 год.
LAP Lambert Academic Publishing
In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern.
 
- Генерация страницы: 0.04 секунд -