Algorithms and Tools for Big Data Analysis and Automated Real Time Optimal or Near Optimal Decision Making for Industrial Systems

用于工业系统大数据分析和自动实时最佳或接近最佳决策的算法和工具

• 批准号: RGPIN-2017-05785
• 负责人: Yacout, Soumaya
• 金额: $ 2.04万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636803
• 关键词: Algorithms; Tools; Big; Data; Analysis

Data science and data engineering have arguably become some of the most important research fields in this century. These fields are based on fundamental branches of science and engineering, namely, information technology, sensor technology, statistics, operations research, optimization, artificial intelligence, data mining and machine learning.

数据科学和数据工程可以说是本世纪最重要的研究领域之一。这些领域以科学和工程的基本分支为基础，即信息技术、传感器技术、统计学、运筹学、最优化、人工智能、数据挖掘和机器学习。