Artificial Intelligence in Data Mining: Theories and Applications

D. Binu, B. R. Rajakumar

Informasi Dasar

21.21.1916
006.3
Buku - Elektronik (E-Book)
4

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense

Subjek

ARTIFICIAL INTELLIGENCE.
 

Katalog

Artificial Intelligence in Data Mining: Theories and Applications
978-0-12-820601-0
270p.: pdf file.;4 MB
Inggris

Sirkulasi

Rp. 0
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Pengarang

D. Binu, B. R. Rajakumar
Perorangan
 
 

Penerbit

Elsevier
New York
2021

Koleksi

Kompetensi

  • CCH3F3 - KECERDASAN BUATAN
  • TTI4I3 - AI DAN BIG DATA ANALYSIS
  • CII2M3 - PENGANTAR KECERDASAN BUATAN
  • TTI6V3 - PENGGALIAN DATA
  • CPI2M3 - PENGANTAR KECERDASAN BUATAN
  • TEI3G3 - KECERDASAN BUATAN
  • TKI3H3 - KECERDASAN BUATAN
  • IEI4O3 - KECERDASAN BUATAN
  • VEI3B4 - KECERDASAN BUATAN
  • CRI2D3 - KECERDASAN BUATAN
  • CSI-2E3 - KECERDASAN BUATAN
  • CSI2E3 - KECERDASAN BUATAN
  • ISI4M3 - PENGEMBANGAN SISTEM CERDAS
  • ISI7H3 - PERANCANGAN APLIKASI CERDAS
  • CRI4E3 - REKAYASA PERANGKAT LUNAK UNTUK SISTEM CERDAS

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