Opis
In this volume, the authors delve deeply into the essential theoretical foundations and practical applications of data mining within the broader context of computational intelligence. By exploring a variety of cutting-edge methodologies and algorithms, they highlight the significance of data mining as a tool for extracting valuable insights from large datasets.
The collaborative efforts of Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho, and Václav Snášel offer readers a comprehensive understanding of the crucial principles that drive data mining technologies. Their contributions not only emphasize foundational concepts but also showcase innovative techniques that have the potential to transform numerous fields through informed decision-making and analysis.
The collaborative efforts of Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho, and Václav Snášel offer readers a comprehensive understanding of the crucial principles that drive data mining technologies. Their contributions not only emphasize foundational concepts but also showcase innovative techniques that have the potential to transform numerous fields through informed decision-making and analysis.
Szczegóły książki
Format
Miękka okładka
Strony
410 stron
Język
Angielski
Opublikowany
Oct 28, 2010
Wydawca
Springer
ISBN-10
3642101674
ISBN-13
9783642101670