Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making: 2024 International Scientific Conference Intelligent Systems of De

Babichev, Sergii, Lytvynenko, Volodymyr

Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making: 2024 International Scientific Conference Intelligent Systems of De
  • 出版商: Springer
  • 出版日期: 2025-01-18
  • 售價: $8,700
  • 貴賓價: 9.5 折 $8,265
  • 語言: 英文
  • 頁數: 735
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031709586
  • ISBN-13: 9783031709586

    • 尚未上市，無法訂購

相關主題

商品描述

This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.

The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:

1. Analysis and modeling of hybrid systems and processes--14 papers.

2. Theoretical and applied aspects of decision-making systems--7 papers.

3. Data engineering, computational intelligence, and inductive modeling--16 papers.

This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.

商品描述(中文翻譯)

本書探討當前在人工智慧和計算智慧領域的挑戰，特別聚焦於決策系統。它探索了計算機科學中的當前趨勢，包括信息的收集、分析和處理。書中強調了現代信息和計算技術在數據分析和處理、數據挖掘及機器學習中的進展，展示了這些技術在提高信息處理效率方面的作用，通過減少時間和提高準確性來實現。

本書包含37篇科學論文，呈現數據挖掘、機器學習和決策制定領域的前沿研究。內容分為三個部分：

1. 混合系統和過程的分析與建模——14篇論文。
2. 決策系統的理論與應用方面——7篇論文。
3. 數據工程、計算智慧和歸納建模——16篇論文。

本書旨在為專注於數據挖掘、機器學習和決策系統的科學家和開發者提供參考。

類似商品