人工智能在数据挖掘和KDD中的出现:人工神经网络的优缺点

Mohammad Asim khan, Sharik Ahmad
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引用次数: 0

摘要

当前位置信息和技术方法的迅速发展使得公司在庞大的数据库中收集客户数据。数据挖掘是分析、搜索信息以使其对人类有用的过程。为了找出可理解的信息,大量的信息被建模、选择和探索。人工智能和数据挖掘方法已经在许多领域被用来解决分类、诊断、关联、分割和预测问题。本文从人工智能的角度讨论了数据挖掘和KDD过程。我们讨论了数据挖掘和人工智能中的热门主题,其中包括在数据挖掘和KDD中使用的关键人工智能建议。本文的总体目标是对人工智能在数据挖掘中的不同应用和算法进行展望。在这篇特别的论文中,我们将考虑几个历史贡献,并以人类智能为例讨论这些不同的思想。此外,我们还可以提出一个更智能设备风格的总体框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Emergence of AI in Data Mining and KDD: ANN its Strength & Weakness
:Rapid increases in informational and technological methods have led companies to gather customer data in great databases. Data mining is the procedure involving analyzing, searching information to make it helpful for human use. Great amount of information is modeled, selected as well as explored in order to figure out comprehensible info. Artificial intelligence as well as data mining methods has been utilized in numerous domains to resolve classification, diagnosis, and association, segmentation, and prediction issues. This particular paper discuss about the Data mining as well as KDD procedure from an AI perspective. We talk about popular subjects in data mining as well as AI, which includes key AI suggestions which have been utilized in both data mining as well as KDD. The general goal of this particular paper is taking a perspective of different application and algorithms of AI in Data Mining. In this particular paper, we are going to take into consideration several historic contributions and talk about these various thoughts with an example to human intelligence. Additionally, an overall framework for the style of even more clever devices can we proposed.
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