System Analysis and Data Mining
暫譯: 系統分析與資料探勘
Zgurovsky, Michael, Pankratova, Nataliya
- 出版商: Springer
- 出版日期: 2025-11-12
- 售價: $8,620
- 貴賓價: 9.5 折 $8,189
- 語言: 英文
- 頁數: 466
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031975286
- ISBN-13: 9783031975288
-
相關分類:
Data-mining、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book presents the latest scientific contributions by Ukrainian researchers and their international colleagues in four interrelated fields: systems analysis, systems mathematics, computational intelligence, and data mining. The included papers explore both the theoretical foundations and practical applications of cutting-edge technologies across a wide range of topics--including, but not limited to, global security, artificial intelligence, environmental risks, financial systems, health care, digital twins, distributed computing, assistive robotics, and other critical areas of human activity. These fields are united by the complexity of the systems involved, the presence of uncertainty, and multifactorial risks. The methods and models presented in this volume will be valuable for researchers, educators, graduate and postgraduate students, as well as practitioners who implement modern tools and knowledge in systems analysis, artificial intelligence, and data mining to drive innovation in the digital economy. This book makes a significant contribution to the advancement of a systems based approach to understanding global transformations. It highlights how the integration of fundamental science, mathematical modeling, and intelligent technologies can offer profound insights into complex phenomena and support informed decision-making in vital sectors of contemporary life.
商品描述(中文翻譯)
本書介紹了烏克蘭研究人員及其國際同事在四個相互關聯的領域中的最新科學貢獻:系統分析、系統數學、計算智能和資料探勘。所包含的論文探討了尖端技術的理論基礎和實際應用,涵蓋了廣泛的主題,包括但不限於全球安全、人工智慧、環境風險、金融系統、醫療保健、數位雙胞胎、分散式計算、輔助機器人以及其他人類活動的關鍵領域。這些領域的共同特點是所涉及系統的複雜性、不確定性的存在以及多因素風險。
本卷中所呈現的方法和模型將對研究人員、教育工作者、研究生及研究所學生,以及在系統分析、人工智慧和資料探勘中實施現代工具和知識的實務工作者具有重要價值,以推動數位經濟中的創新。
本書對於推進基於系統的方法以理解全球變革做出了重要貢獻。它強調了基礎科學、數學建模和智能技術的整合如何能夠提供對複雜現象的深刻見解,並支持當代生活中重要領域的知情決策。