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相关概念视频

Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Statgraphics01:10

Statgraphics

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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Introduction to R01:11

Introduction to R

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R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
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Updated: Jun 28, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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基于计算机智能算法的金融大数据管理和情报.

Jia Liu1, Shuai Fu2

  • 1School of Economics and Management, Harbin University, Harbin, 150086, Heilongjiang, China.

Scientific reports
|April 24, 2024
PubMed
概括
此摘要是机器生成的。

企业财务控制面临大规模运营带来的风险. 智能算法,包括反向神经网络和粒子群优化,对于大数据环境中的有效财务管理和风险预警至关重要.

关键词:
大数据管理和控制金融大数据是金融大数据.管理和控制的智能分析.智能计算机算法 智能计算机算法

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科学领域:

  • 工商管理 工商管理
  • 财务管理 财务管理
  • 计算机科学 计算机科学

背景情况:

  • 经济一体化推动了企业规模和竞争.
  • 大型企业在财务控制和风险管理方面面临挑战.
  • 业务业绩的虚假增长可能会导致重大财务和运营风险.

研究的目的:

  • 在理论和实践中分析企业的财务控制需求.
  • 使用智能算法设计和实施财务控制策略.
  • 评估财务管理和风险预警系统的有效性.

主要方法:

  • 关于ZH集团财务状况的案例研究.
  • 开发财务控制模块.
  • 反向神经网络用于评估的应用.
  • 利用粒子群集优化,以获得最佳的解决方案.
  • 构建一个金融风险指标系统.

主要成果:

  • 在5年内,中兴集团的总资产周转率下降了0.39倍.
  • 尽管有调整,但公司的运营和业务能力需要进一步改进.
  • 智能算法证明了金融大数据管理的价值.

结论:

  • 智能算法对于加强企业财务控制至关重要.
  • 先进的计算方法可以改善决策,内省和风险管理.
  • 该研究强调了将人工智能集成到金融大数据分析中的必要性.