subset
简明释义
n. [数] 子集;子设备;小团体
复 数 s u b s e t s
英英释义
A subset is a set that contains some or all elements of another set. | 子集是一个包含另一个集合的一些或所有元素的集合。 |
单词用法
资料子集,数据子集 |
同义词
子集 | 对人群的一个子集进行了调查以收集数据。 | ||
部分 | 这项研究集中在市场的一个部分。 | ||
部分 | 我们分析了数据集中一部分的数据用于我们的研究。 | ||
划分 | 公司的每个划分都有自己的预算。 |
反义词
超集 | The set of all integers is a superset of the set of even numbers. | 所有整数的集合是偶数集合的超集。 | |
整体 | When considering a whole, each subset contributes to its overall characteristics. | 在考虑整体时,每个子集都对其整体特征有所贡献。 |
例句
1.For the test subset, we withheld the scores.
在测试子集中,我们保留了打分。
2.The scenarios in this article series use a subset of these.
本系列文章介绍的场景仅用到它提供的功能的一小部分。
3.Actually, the proposal focuses on a particular subset of megafauna, the kind that lived during the Pleistocene epoch.
实际上,这个提案关注的是生活在更新世时期的巨型动物的一个特定子集。
4.Doing so brings up your subset in the left pane.
这样将在左边窗格中打开您的子集。
5.Then each subset is flushed to the corresponding database.
然后每个子集被清仓到对应的数据库。
6.First, each partition has its own subset of metadata.
首先,每个分区都有自己的元数据子集。
7.In mathematics, a subset 子集 of a set contains some or all elements of that set.
在数学中,一个集合的子集包含该集合的一些或所有元素。
8.The research focused on a subset 子集 of participants who were under 30 years old.
研究集中在一个年龄在30岁以下的参与者的子集上。
9.A subset 子集 of the data was analyzed to find trends in consumer behavior.
对数据的一个子集进行了分析,以寻找消费行为的趋势。
10.In programming, a subset 子集 of functions can be created for specific tasks.
在编程中,可以为特定任务创建功能的子集。
11.Only a subset 子集 of the total population was surveyed for this study.
本研究仅对总人口的一个子集进行了调查。
作文
In the world of mathematics and statistics, the term subset (子集) plays a crucial role in understanding relationships between different groups. A subset is defined as a set that contains some or all elements of another set. For instance, if we have a set of all natural numbers, then the even numbers form a subset (子集) of that set. This concept can be applied not only in mathematics but also in various fields such as computer science, data analysis, and even everyday decision-making.To illustrate the importance of subset (子集), consider a scenario in data analysis where we are examining customer behavior in a retail store. We might have a complete dataset of all customers who made purchases over the past year. From this dataset, we might want to focus on a specific group, such as customers who purchased electronics. This group represents a subset (子集) of the total customer dataset. By analyzing this subset (子集), businesses can gain insights into trends, preferences, and purchasing patterns specific to that category, which can inform marketing strategies and inventory management.Moreover, the concept of subset (子集) extends beyond numerical data. In the realm of social sciences, researchers often study specific demographics within a larger population. For example, if a researcher is interested in studying the health outcomes of teenagers, they might create a subset (子集) of the population that includes only individuals aged 13 to 19. This subset (子集) allows for a more focused analysis, leading to conclusions that are directly relevant to that age group.In programming, the idea of subset (子集) is equally significant. When developing algorithms, programmers often need to work with specific portions of data. For example, when filtering a list of users based on their activity level, the filtered list becomes a subset (子集) of the original user database. This subset (子集) can then be used for targeted notifications, personalized content, and other tailored experiences that enhance user engagement.Furthermore, in the context of machine learning, creating subsets (子集) of data for training and testing models is a common practice. The training set is a subset (子集) of the overall data used to teach the model, while the testing set, which is also a subset (子集), is used to evaluate its performance. This division is crucial for ensuring that the model generalizes well to new, unseen data.In conclusion, the term subset (子集) encompasses a fundamental concept that transcends disciplines. Whether in mathematics, data analysis, social sciences, programming, or machine learning, understanding and utilizing subsets (子集) allows for more precise analysis, targeted strategies, and effective decision-making. As we continue to navigate an increasingly data-driven world, the ability to identify and work with subsets (子集) will remain an essential skill for professionals across various fields.
在数学和统计学的世界中,术语subset(子集)在理解不同群体之间的关系中发挥着至关重要的作用。subset被定义为一个包含另一个集合的某些或所有元素的集合。例如,如果我们有一个所有自然数的集合,那么偶数就构成了该集合的一个subset(子集)。这个概念不仅可以应用于数学,而且可以应用于计算机科学、数据分析甚至日常决策等各个领域。为了说明subset(子集)的重要性,考虑一个数据分析的场景,我们正在研究零售店中的客户行为。我们可能拥有过去一年内所有购买商品的客户的完整数据集。在这个数据集中,我们可能希望专注于一个特定的群体,例如购买电子产品的客户。这个群体代表了总客户数据集的一个subset(子集)。通过分析这个subset(子集),企业可以获得特定类别的趋势、偏好和购买模式的洞察,这可以为营销策略和库存管理提供信息。此外,subset(子集)的概念超越了数字数据。在社会科学领域,研究人员通常会研究更大人口中的特定人群。例如,如果研究人员对青少年的健康结果感兴趣,他们可能会创建一个仅包括13到19岁个体的subset(子集)。这个subset(子集)允许进行更为专注的分析,从而得出直接与该年龄组相关的结论。在编程中,subset(子集)这一概念同样重要。在开发算法时,程序员通常需要处理特定的数据部分。例如,在根据用户的活动水平过滤用户列表时,过滤后的列表成为原始用户数据库的一个subset(子集)。这个subset(子集)可以用于针对性的通知、个性化内容和其他增强用户参与度的量身定制体验。此外,在机器学习的背景下,为训练和测试模型创建数据的subsets(子集)是一种常见做法。训练集是用于教导模型的一个subset(子集),而测试集也是一个subset(子集),用于评估其性能。这种划分对于确保模型能够很好地推广到新的、未见过的数据至关重要。总之,术语subset(子集)涵盖了一个超越学科的基本概念。无论是在数学、数据分析、社会科学、编程还是机器学习中,理解和利用subsets(子集)都能实现更精确的分析、针对性的策略和有效的决策。随着我们继续在一个日益数据驱动的世界中航行,识别和处理subsets(子集)的能力将始终是各个领域专业人士的重要技能。