granularities

简明释义

英[ˌɡræn.jʊˈlær.ɪ.tiːz]美[ˌɡræn.jəˈlɛr.ɪ.tiz]

间隔尺寸（granularity 的名词复数），（岩）[岩]粒度

英英释义

单词用法

同义词

反义词

例句

1.Finally, we discussed location dependent query processing, location translation, the location granularities adjusting and the location mismatch problem.

最后讨论了位置相关查询处理过程，位置转换、位置粒度调整、位置误匹配问题。

2.An algorithm for efficient mining of asynchronous periodic patterns with multiple granularities by exploring some interesting properties related to asynchronous periodicity was proposed.

把异步周期和多时间粒度下的时态模型结合起来研究，并利用异步周期的特点提出了一种有效的挖掘算法。

3.Multi-feature cubes(MF-cubes) compute complex data mining queries involving multiple dependent aggregates at multiple granularities.

多特征方用于计算复杂数据挖掘查询，具有多粒度上多个依赖聚集计算的典型特点。

4.Nanocopper particles were prepared by flow levitation method. The structures, morphologies, granularities and the surface oxide layers of particles were investigated by TEM, XRD, and AES techniques.

采用自悬浮定向流法制备金属铜纳米微粒，并用TEM,XRD和AES等分析手段研究了铜纳米微粒的形貌、粒度、结构及其表面氧化层特性。

5.Based on this model, the parallelisms with various granularities could be exploited for real time applications.

该模型可充分开发不同粒度的并行性，使媒体处理满足实时应用的需求。

6.There are also several levels of granularities.

这里也存在不同的粒度。

7.Dyes are always thermosensitive materials and the key technology of dyes spray granulating is to get bigger granulars and more narrow distribution of granularities on the precondition of good quality.

染料是热敏性物料，在不破坏产品质量的前提下获得较大的颗粒和较窄的粒度分布是染料喷雾造粒的技术关键。

8.Constraints involving multiple time granularities exist in many temporal database applications.

在许多时态数据库应用中，都存在着涉及多时间粒度的约束。

9.However, in the strong totally ordered temporal scheme, the introduction of multiple time granularities makes it more difficult to solve the membership problem.

由于强全序时态模式中多时间粒度的使用，使其成员籍问题的解决变得更加复杂。

10.To improve the project, we need to examine the 细节 of each phase.

为了改善项目，我们需要检查每个阶段的细节。

11.In this study, we will analyze the 颗粒度 of the data collected over the past year.

在这项研究中，我们将分析过去一年收集的数据的颗粒度。

12.The data analysis revealed various 细微差别 in customer preferences.

数据分析揭示了客户偏好中的各种细微差别。

13.Understanding the 层次 of risk involved is crucial for effective decision-making.

理解所涉及的层次风险对于有效决策至关重要。

14.The software allows users to customize their reports with different 细节级别.

该软件允许用户使用不同的细节级别自定义报告。

作文

In today's fast-paced world, the concept of data analysis has become increasingly important. Businesses and organizations are constantly seeking ways to improve their operations and make informed decisions. One key aspect of effective data analysis is understanding the various levels of detail, or granularities, involved in the information being analyzed. Granularities refer to the different layers or degrees of specificity within a dataset. For example, when analyzing sales data, one can look at overall sales figures, or delve deeper into specific products, time periods, or customer demographics. This ability to navigate through different granularities allows analysts to uncover insights that might otherwise remain hidden.When businesses focus solely on high-level data, they may overlook crucial trends and patterns that exist at more detailed granularities. For instance, a company may notice a decline in overall sales but fail to recognize that certain product lines are performing exceptionally well, while others are not. By examining the data at finer granularities, such as individual product performance or regional sales variations, companies can adapt their strategies accordingly and optimize their offerings.Moreover, understanding granularities is not limited to sales data alone. It applies to various fields, including marketing, finance, and even healthcare. In marketing, for example, analyzing customer behavior at different granularities can help businesses tailor their campaigns to specific audience segments. This targeted approach often results in higher engagement rates and improved return on investment.In finance, investors often assess market trends by examining stock performance data at multiple granularities. They might analyze daily price fluctuations, monthly performance summaries, or even long-term growth trajectories. Each level of analysis offers unique insights and helps investors make more informed decisions based on their risk tolerance and investment goals.In healthcare, understanding patient data at various granularities can significantly enhance treatment outcomes. Physicians can analyze data related to specific symptoms, treatment responses, or demographic factors to develop personalized treatment plans. By recognizing the importance of different granularities, healthcare providers can offer more effective care tailored to individual patient needs.However, it is essential to strike a balance when analyzing data at varying granularities. Too much focus on minute details can lead to 'analysis paralysis,' where decision-makers become overwhelmed by the volume of information and struggle to make timely choices. On the other hand, neglecting finer granularities may result in missed opportunities or critical oversights. Therefore, organizations must develop a strategy that incorporates both high-level overviews and detailed analyses to achieve optimal results.In conclusion, the concept of granularities plays a vital role in effective data analysis across various domains. By understanding and leveraging different levels of detail, businesses and organizations can uncover valuable insights that drive strategic decision-making. Whether in sales, marketing, finance, or healthcare, recognizing the importance of granularities enables stakeholders to make informed decisions that ultimately lead to success and growth.

在当今快节奏的世界中，数据分析的概念变得越来越重要。企业和组织不断寻求改善自身运营和做出明智决策的方法。有效数据分析的一个关键方面是理解被分析信息中的各种细节层次或颗粒度。颗粒度指的是数据集中不同层次或具体程度。例如，在分析销售数据时，可以查看整体销售数字，或者深入研究特定产品、时间段或客户人口统计信息。这种在不同颗粒度之间导航的能力使分析师能够发现可能会被忽视的见解。当企业仅关注高层数据时，可能会忽视在更详细的颗粒度中存在的重要趋势和模式。例如，一家公司可能注意到整体销售额下降，但未能意识到某些产品线表现异常良好，而其他产品则不然。通过在更细的颗粒度上检查数据，例如单个产品的表现或地区销售变化，公司可以相应调整其策略并优化其产品。此外，理解颗粒度不仅限于销售数据。它适用于各个领域，包括营销、金融甚至医疗保健。在营销中，例如，以不同的颗粒度分析客户行为可以帮助企业针对特定受众细分量身定制其活动。这种有针对性的方法通常会导致更高的参与率和改善的投资回报率。在金融领域，投资者通常通过在多个颗粒度上分析市场趋势来评估股票表现。他们可能会分析每日价格波动、每月业绩总结，甚至长期增长轨迹。每个分析层次提供独特的见解，帮助投资者根据其风险承受能力和投资目标做出更明智的决策。在医疗保健中，以不同的颗粒度理解患者数据可以显著提高治疗结果。医生可以分析与特定症状、治疗反应或人口统计因素相关的数据，以制定个性化的治疗计划。通过认识到不同颗粒度的重要性，医疗服务提供者可以提供更有效的护理，针对每位患者的个体需求。然而，在以不同颗粒度分析数据时，必须保持平衡。过于关注微小细节可能导致“分析瘫痪”，决策者被信息量淹没，难以做出及时的选择。另一方面，忽视较细的颗粒度可能导致错失机会或关键的疏漏。因此，组织必须制定一种策略，结合高层概述和详细分析，以实现最佳结果。总之，颗粒度的概念在各个领域的有效数据分析中发挥着至关重要的作用。通过理解和利用不同的细节层次，企业和组织能够发现推动战略决策的宝贵见解。无论是在销售、营销、金融还是医疗保健领域，认识到颗粒度的重要性使利益相关者能够做出明智的决策，最终实现成功和增长。