从数据中获取洞察力

S. P.
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引用次数: 0

摘要

数据挖掘是使用统计和机器学习技术从大型数据集中发现有用模式和见解的过程。它包括从数据中提取知识,并将其转换为可理解的结构以供进一步使用。数据挖掘算法可用于分析各种类型的数据,如文本、图像和视频,并可应用于各种领域,如金融、医疗保健和营销。数据挖掘有许多实际应用,如客户细分、欺诈检测、预测建模和推荐系统。它已经成为企业和组织从数据中获得洞察力并做出数据驱动决策的重要工具。然而,它也引发了对隐私、数据保护和道德的担忧,因为它涉及处理大量敏感数据。因此,合乎道德和负责任地使用数据挖掘技术对于确保保护个人权利和维护社会价值至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INSIGHTQUEST FROM DATA
Data mining is the process of discovering useful patterns and insights from large datasets, using statistical and machine learning techniques. It involves extracting knowledge from data and transforming it into an understandable structure for further use. Data mining algorithms can be used to analyze various types of data such as text, images, and videos, and can be applied to various domains such as finance, healthcare, and marketing. Data mining has many practical applications, such as customer segmentation, fraud detection, predictive modeling, and recommendation systems. It has become an important tool for businesses and organizations to gain insights from their data and make data-driven decisions. However, it also raises concerns about privacy, data protection, and ethics, as it involves handling large amounts of sensitive data. Therefore, ethical and responsible use of data mining techniques is crucial to ensure the protection of individual rights and the preservation of social values.
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