![Innovations in Big Data Mining and Embedded Knowledge](/uploads/posts/2020-04/1587095904_cov250mk.jpg)
Автор: Anna Esposito, Antonietta M. Esposito, Lakhmi C. Jain
Издательство: Springer
Год: 2019
Страниц: 286
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. Data Mining has received a great momentum of interest due to the automatic processes transforming big amount of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships in data. However, embedded knowledge has not been thoroughly considered in data mining.