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Applied intelligent decision making in machine learning / Himansu Das, Jitendra Kumar Rout, Suresh Chandra Moharana, Nilanjan Dey.

By: Contributor(s): Material type: TextTextSeries: Computational intelligence in engineering problem solvingPublication details: Boca Raton CRC Press 2021Edition: 1Description: pages cmISBN:
  • 9780367503369
DDC classification:
  • 006.31 DAS
Summary: "The objective of this edited book is to share the outcomes on various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances of machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation system, forecasting air quality, healthcare, exchange rate prediction, and image dehazing"--
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"The objective of this edited book is to share the outcomes on various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances of machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation system, forecasting air quality, healthcare, exchange rate prediction, and image dehazing"--

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