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Machine Learning for Expert Systems in Data Analysis

机译:数据分析中专家系统的机器学习

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摘要

Imagine a system that automates the job of data science in such a way that if given sales data of a store nationwide can analyze the rate of sales of a product relative to its supply and demand and other necessary variables and is able to decide on the best places for the company to open new stores and help them to decide on the best possible ways to distribute their products. Data Science is an interdisciplinary field that is very much like data mining and Knowledge Discovery in Databases (KDD), involving the analysis of data to make useful inferences and deduction. However, taking into consideration the information overload of this age, it has become a pressing need to automate the process of analyzing this data. At the point of this need is where data science meets machine learning. Machine learning being a powerful tool for automation can be merged with data science and analysis to make for a more effective faster way to analyze data. In this paper, an application of expert systems for data analysis would be discussed as a case study.
机译:想象一下,一种系统,可以以这样的方式自动化数据科学的工作,即如果在全国范围内的商店的销售数据可以分析产品的销售率相对于其供需和其他必要的变量,并且能够决定最好的变量公司的地点开设新店,并帮助他们决定分发产品的最佳方式。数据科学是一个跨学科领域,非常像数据挖掘和数据库中的知识发现(KDD),涉及分析数据以进行有用的推论和扣除。但是,考虑到此年龄的信息过载,它已成为一种迫切需要自动化分析此数据的过程。在这种情况下,数据科学符合机器学习的地方。机器学习是一种强大的自动化工具,可以与数据科学和分析合并,以便更快的更快方式来分析数据。本文将讨论对数据分析专家系统的应用作为案例研究。

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