filtering
简明释义
v. [化工]过滤,滤除(filter 的 ing 形式)
英英释义
The process of removing unwanted elements from a substance or data set. | 从物质或数据集中去除不需要的元素的过程。 |
A method used to isolate specific information or items from a larger group. | 一种用于从更大群体中隔离特定信息或项目的方法。 |
单词用法
[计]滤波算法;筛选算法 | |
协同过滤;协作筛选 |
同义词
筛选 | 筛选过程帮助识别出最佳候选人。 | ||
筛分 | 筛分数据揭示了重要趋势。 | ||
净化 | 水的净化对安全饮用至关重要。 | ||
选择 | 材料的选择对质量控制至关重要。 |
反义词
例句
1.Listing 7. Filtering reworked!
清单7.过滤改编!
2.The doors opened and people started filtering through.
门开了,人们开始徐徐通过。
3.No filtering and processing of that light is required.
此光线无须进行过滤及处理。
4.This USES view filtering to show only articles in that category.
这种方式使用视图过滤,仅显示包含在该类别中的文章。
5.Figure 1 graphically illustrates this packet filtering process.
图1用图形说明了这个信息包过滤过程。
6.More details about the crash are filtering through.
人们对这场空难的了解一点点多起来。
7.You can narrow the results by filtering by content type or task.
通过按内容或任务过滤,可以对这些结果进行细分。
8.The water purification system is filtering the impurities from the water.
水净化系统正在过滤水中的杂质。
9.She is filtering through the job applications to find the best candidates.
她正在筛选求职申请,以找到最佳候选人。
10.The software is filtering spam emails from your inbox.
该软件正在过滤您收件箱中的垃圾邮件。
11.He was filtering out the noise so he could concentrate on his work.
他正在过滤噪音,以便集中精力工作。
12.The research team is filtering data to identify significant trends.
研究团队正在筛选数据,以识别重要趋势。
作文
In today's digital age, the concept of filtering (过滤) has become increasingly significant. We are constantly bombarded with information from various sources, including social media, news outlets, and personal communications. The sheer volume of data can be overwhelming, making it essential to implement effective strategies for filtering (过滤) this information. Without proper filtering (过滤), we risk being misinformed or losing sight of what is truly important. One of the primary reasons for filtering (过滤) information is to enhance our understanding of complex topics. For instance, when researching a subject such as climate change, one may encounter a plethora of articles, studies, and opinions. By filtering (过滤) through these resources, we can identify credible sources and relevant data that contribute to a well-rounded perspective. This process not only saves time but also ensures that we are informed by quality information rather than sensationalized headlines. Moreover, filtering (过滤) plays a crucial role in managing our mental health. In an era where negative news seems to dominate the headlines, it is vital to curate our media consumption. By actively filtering (过滤) out distressing content, we can protect ourselves from unnecessary anxiety and stress. This selective approach allows us to focus on positive stories and uplifting narratives that foster a sense of hope and resilience. In addition to personal well-being, filtering (过滤) is essential for maintaining productive relationships. In conversations, we often encounter differing opinions and conflicting viewpoints. By filtering (过滤) out distractions and focusing on the core message, we can engage in more meaningful dialogues. This practice promotes empathy and understanding, allowing us to appreciate diverse perspectives without becoming overwhelmed by emotional reactions. Furthermore, businesses and organizations rely heavily on filtering (过滤) to make informed decisions. In the corporate world, data analytics tools are employed to sift through vast amounts of data, identifying trends and insights that drive strategic planning. By filtering (过滤) out irrelevant information, companies can allocate resources more effectively and respond swiftly to market changes. This analytical approach not only enhances efficiency but also fosters innovation by highlighting areas for growth and improvement. However, it is essential to recognize the challenges associated with filtering (过滤). The rise of algorithms and artificial intelligence has led to concerns about echo chambers and confirmation bias. When we rely solely on automated filtering (过滤) systems, we may inadvertently limit our exposure to diverse viewpoints. Therefore, it is crucial to strike a balance between automated filtering (过滤) and human discernment, ensuring that we remain open to new ideas while still protecting ourselves from misinformation. In conclusion, filtering (过滤) is an indispensable skill in navigating the complexities of modern life. Whether it involves curating information, managing mental health, enhancing communication, or driving business decisions, the ability to filter (过滤) effectively is paramount. As we continue to face an ever-increasing influx of data, honing our filtering (过滤) skills will empower us to make informed choices and lead more fulfilling lives.
在当今数字时代,过滤(filtering)这一概念变得越来越重要。我们不断受到来自各种来源的信息轰炸,包括社交媒体、新闻机构和个人通讯。数据的庞大数量可能令人感到不知所措,因此实施有效的信息过滤(filtering)策略显得尤为必要。如果没有适当的过滤(filtering),我们可能会被误导或失去对真正重要事物的关注。 过滤(filtering)信息的主要原因之一是增强我们对复杂主题的理解。例如,在研究气候变化这样的主题时,我们可能会遇到大量的文章、研究和观点。通过对这些资源进行过滤(filtering),我们可以识别出可信的来源和相关的数据,从而形成全面的视角。这一过程不仅节省了时间,还确保我们获取的是高质量的信息,而不是耸人听闻的标题。 此外,过滤(filtering)在管理我们的心理健康方面也发挥着至关重要的作用。在一个负面新闻似乎主导头条的时代,策划我们的媒体消费至关重要。通过主动过滤(filtering)掉令人沮丧的内容,我们可以保护自己免受不必要的焦虑和压力。这种选择性的方法使我们能够专注于积极的故事和鼓舞人心的叙述,从而培养希望和韧性的感觉。 除了个人福祉,过滤(filtering)对于维护生产性关系也是必不可少的。在对话中,我们常常会遇到不同的意见和冲突的观点。通过过滤(filtering)掉干扰并专注于核心信息,我们可以参与更有意义的对话。这种做法促进了同理心和理解,使我们能够欣赏多样化的观点,而不会因情绪反应而感到不知所措。 此外,企业和组织在做出明智决策时也高度依赖于过滤(filtering)。在企业界,数据分析工具被用于筛选大量数据,识别驱动战略规划的趋势和见解。通过过滤(filtering)掉无关的信息,公司可以更有效地分配资源,并迅速应对市场变化。这种分析方法不仅提高了效率,还通过突出增长和改进的领域促进了创新。 然而,必须认识到与过滤(filtering)相关的挑战。算法和人工智能的兴起引发了关于回音室和确认偏见的担忧。当我们仅依赖自动化的过滤(filtering)系统时,我们可能无意中限制了接触多样观点的机会。因此,找到自动化过滤(filtering)与人类判断之间的平衡至关重要,以确保我们在保护自己免受错误信息的同时,仍然保持开放的心态。 总之,过滤(filtering)是应对现代生活复杂性不可或缺的技能。无论是策划信息、管理心理健康、增强沟通还是推动商业决策,能够有效地过滤(filtering)都是至关重要的。随着我们继续面对日益增加的数据流量,磨练我们的过滤(filtering)技能将使我们能够做出明智的选择,过上更充实的生活。
文章标题:filtering的意思是什么
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