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相关概念视频

Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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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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Introduction to GIS01:28

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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KGScope:知识图的交互式视觉探索与基于嵌入的指导

Chao-Wen Hsuan Yuan, Tzu-Wei Yu, Jia-Yu Pan

    IEEE transactions on visualization and computer graphics
    |January 31, 2024
    PubMed
    概括

    我们介绍了KGScope,这是一个探索知识图的新工具. KGScope提供交互式可视化和基于嵌入的指导,帮助用户在复杂的数据网络中发现洞察力.

    科学领域:

    • 计算机科学 计算机科学
    • 数据科学数据科学数据科学
    • 信息可视化 信息可视化

    背景情况:

    • 知识图被广泛用于表示实体关系和增强服务.
    • 现有的知识图探索工具由于未解决用户需求和图形特征而缺乏有效性.
    • 需要专门的方法来发现和总结知识图中的见解.

    研究的目的:

    • 提出KGScope,这是一个用于交互式视觉探索知识图的新系统.
    • 提供基于嵌入的指导,用于从知识图表中获得洞察力.
    • 为数据分析师和研究人员提高知识图谱探索的有效性.

    主要方法:

    • 开发了具有互动视觉探索能力的KGScope.
    • 基于嵌入的综合指导,以协助洞察力发现.
    • 进行了使用场景和用户研究,以评估KGScope的有效性.

    主要成果:

    • KGScope有效地支持知识图的探索.
    • 该系统为用户提供了有价值的信息.
    • KGScope有助于探索整个知识图谱网络.

    结论:

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    • KGScope 增强了从知识图表中获得见解的过程.
    • 交互式可视化和基于嵌入的指导对于有效的探索至关重要.
    • 拟议的系统在理解复杂的知识图数据方面具有显著的实用性.