实现多元线性回归估计丝网印刷设备销售利润

K. Khairul, Asyahri Hadi Nasyuha, A. Ikhwan, Moustafa H. Aly, Ahyanuardi Ahyanuardi
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引用次数: 0

摘要

传统的营销策略不再实际实施,因为这个过程需要更多的成本和时间来传播信息。数据挖掘是一门从以前的数据中讨论知识来估计未来产量的科学。数据挖掘是一个用于发现数据库中隐藏知识的术语。数据挖掘是一个半自动的过程,使用统计、数学、人工智能和机器学习技术,从大型数据库中提取和识别有价值和有用的信息。有必要使用数据挖掘领域的五种方法之一,即多元线性回归方法来解决这个问题,该方法将分析有影响的变量,并可以进行估计。多元线性回归是一种可以用来分析数据并获得关于一个变量和另一个变量之间关系的有意义的结论的方法。这种关系一般用数学方程来表示,用简单方程的形式表示自变量和因变量之间的关系
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Multiple Linear Regression to Estimate Profit on Sales of Screen Printing Equipment
Traditional marketing strategies are no longer practical to implement because the process requires more costs and time to disseminate information which is much longer. Data Mining is a science that discusses knowledge from previous data to estimate the amount of production in the future. Data mining is a term used to find hidden knowledge in databases. “Data mining is a semi-automatic process using statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify valuable and helpful information in large databases. It is necessary to solve the problem by using one of the five methods in the field of Data Mining, namely the Multiple Linear Regression method, where this method will analyze the variables that have an influence and can make estimates. Multiple Linear Regression Is a method that can be used to analyze data and obtain meaningful conclusions about a relationship between one variable and another. This relationship is generally expressed by a mathematical equation expressing the relationship between the independent and dependent variables in the form of a simple equation
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