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相关概念视频

Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Aggregates Classification01:29

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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
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Updated: Jul 8, 2025

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数字营销计划的设计基于异常的消费者行为数据分类和改进的同型加密算法.

Jun Cui1, Hao Jiang2, Zhendan Xu3

  • 1Business School, Hohai University, Nanjing, Jiangsu, China.

PeerJ. Computer science
|December 11, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用消费者数据和同态加密的新型数字营销框架. 改进后的模型在分类在线消费数据方面实现了高准确性,改善了市场洞察力和营销策略.

关键词:
在CatBoost-RBF中使用.消费者数据 消费者数据同型的加密算法 同型的加密算法营销策略 营销策略

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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
  • 网络安全 网络安全

背景情况:

  • 数字营销严重依赖消费者数据,引发了隐私问题.
  • 现有的加密方法可能无法有效处理复杂的消费者数据集.
  • 同型加密为保护隐私的数据分析提供了一个有前途的解决方案.

研究的目的:

  • 开发一个保护隐私的数字营销框架,使用同型加密和消费者数据.
  • 增强对消费数据中的理数处理的同态加密.
  • 提高在线消费数据分类的准确性和效率.

主要方法:

  • 使用GridSearch与CatBoost模型来处理叶节点.
  • 采用一个辐射基函数 (RBF) 层来映射叶节点.
  • 集成了一个增强的同态加密算法与中国残余定理进行解密.

主要成果:

  • 实现曲线下的面积 (AUC) 为0.66.
  • 在线消费数据的分类准确率达到98.56%.
  • 获得了98.41的F1得分,证明了强大的模型概括性.

结论:

  • 拟议的框架为市场洞察提供了稳定,安全和高效的解决方案.
  • 增强的同态加密在处理理数时有效地保护隐私.
  • 该模型允许精确,实时的市场分析,以优化数字营销策略.