Data Analysis Techniques and Applications
暫譯: 數據分析技術與應用

Méndez-González, Luis Carlos, González-Hernández, Isidro Jesús, Rodríguez Borbón, Manuel Iván

Data Analysis Techniques and Applications
  • 出版商: Springer
  • 出版日期: 2026-05-08
  • 售價: $9,010
  • 貴賓價: 9.5 折 $8,559
  • 語言: 英文
  • 頁數: 503
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032137020
  • ISBN-13: 9783032137029
  • 相關分類: Data-mining

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book presents innovative techniques in data analysis and related branches for solving problems in different areas of science. The authors present multiple techniques in data science and its applications, such as multi-objective optimization, statistical analysis, statistical process, and design of experiments for industry, artificial intelligence and machine learning, big data analytics, and stochastic processes. The methodologies used in the case studies allow practitioners to replicate and adapt the proposed models and techniques to new areas of analysis. At the same time, the book allows students from different areas to see how the implementation of data analysis can help understand phenomena in the real world and how, through a structured methodology, it is possible to derive conclusions to different problems that arise in many areas of science.

商品描述(中文翻譯)

本書介紹了數據分析及相關領域中的創新技術，以解決不同科學領域中的問題。作者提出了多種數據科學及其應用的技術，例如多目標優化、統計分析、統計過程以及實驗設計，這些技術適用於工業、人工智慧和機器學習、大數據分析以及隨機過程。案例研究中使用的方法論使從業者能夠複製並調整所提出的模型和技術，以應用於新的分析領域。同時，本書讓來自不同領域的學生了解數據分析的實施如何幫助理解現實世界中的現象，以及如何通過結構化的方法論，推導出針對許多科學領域中出現的不同問題的結論。

作者簡介

Luis Carlos Méndez-González is a research professor in the Department of Industrial Engineering and Manufacturing at the Institute of Engineering and Technology, Autonomous University of Ciudad Juárez (UACJ). He is recognized as a member of Mexico's National System of Researchers (SNII) by the SECIHTI, and has extensive experience in the automotive, medical, and manufacturing industries. His research interests and journal publications cover a wide range of topics, including reliability analysis, statistical modeling, automation, machine learning, and data science.

Isidro Jesús González-Hernández received his Ph.D. in Strategic Planning and Technology Management from the Popular Autonomous University of the State of Puebla (UPAEP). He is a professor and researcher with Bachelor's and Postgraduate degrees in Industrial Engineering from the Autonomous University of the State of Hidalgo (UAEH). He is a National Researcher within the National System of Researchers (SNII) of SECIHTI in Mexico. His research interests include the design, modeling, optimization, and simulation of supply chains and logistics systems. He also focuses on statistical modeling for reliability analysis.

Manuel Iván Rodríguez Borbón is a researcher and consultant with expertise in industrial engineering, statistics, and data analysis. He holds a Ph.D. in Industrial Engineering from New Mexico State University (NMSU), where his doctoral thesis focused on a multi-factor reliability model with a Bayesian application to accelerated life testing. He also holds a Master of Science in Statistics from the University of Texas at El Paso and a Bachelor of Science degree in Industrial Engineering from the Instituto Tecnológico de Ciudad Juarez, Mexico.

作者簡介(中文翻譯)

路易斯·卡洛斯·門德斯-岡薩雷斯（Luis Carlos Méndez-González）是墨西哥 Ciudad Juárez 自治大學（UACJ）工程與技術學院工業工程與製造系的研究教授。他被 SECIHTI 認可為墨西哥國家研究系統（SNII）的成員，並在汽車、醫療和製造業擁有豐富的經驗。他的研究興趣和期刊發表涵蓋了廣泛的主題，包括可靠性分析、統計建模、自動化、機器學習和數據科學。

伊西德羅·赫蘇斯·岡薩雷斯-埃爾南德斯（Isidro Jesús González-Hernández）在普埃布拉州立大學（UPAEP）獲得戰略規劃與技術管理的博士學位。他是教授和研究員，擁有來自伊達爾戈州立大學（UAEH）的工業工程學士和研究生學位。他是墨西哥 SECIHTI 國家研究系統（SNII）中的國家研究員。他的研究興趣包括供應鏈和物流系統的設計、建模、優化和模擬。他還專注於可靠性分析的統計建模。

曼努埃爾·伊萬·羅德里格斯·博爾本（Manuel Iván Rodríguez Borbón）是一位擁有工業工程、統計和數據分析專業知識的研究員和顧問。他在新墨西哥州立大學（NMSU）獲得工業工程博士學位，博士論文專注於多因素可靠性模型及其在加速壽命測試中的貝葉斯應用。他還擁有德克薩斯州埃爾帕索大學的統計學碩士學位，以及墨西哥 Ciudad Juarez 技術學院的工業工程學士學位。

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