基于用户个性的数据挖掘方法对墙壁油漆颜色进行分析

Titasari Rahmawati, S. Supangat
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引用次数: 0

摘要

摘要“人格测试或所谓的心理测试是一种通过系统阶段进行测量的活动,以揭示个人的某些心理方面。最准确的人格测试之一是MBTI(Myer-Briggs类型指标)MBTI测试的结果可以用于考虑各种兴趣,例如工作或某些兴趣,例如找出自己的长处和短处,与他人建立关系和其他兴趣。本研究的目的是制作一个应用程序,该应用程序可以提供关于彭古纳根据彭古纳的性格类型选择的房间油漆颜色的信息,该性格类型是通过MBTI测试预先确定的。所显示的信息是以支持和信心价值观的形式出现的,即彭古纳的性格类型和最喜欢的油漆颜色之间的关系。项目此外,该应用程序还可以使用FP Growth(频繁模式增长)算法以数据分析的形式提供关于彭古纳选择的性格类型和颜色的信息。FP Growth算法是Apriori算法的发展,目的是收集同时出现的数据,然后分组并创建经常出现的项目列表。在确定系统执行的支持和置信度的百分比结果时,它取决于数据量和输入的最小支持量。更多的数据将影响百分比结果,并将加快使用FP Growth的分析过程。通过分析频繁项目集的结果,可以形成一个规则,供彭古纳参考者根据彭古纳的个性选择或组合墙壁涂料的颜色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Pemilihan Warna Cat Dinding dengan Metode Data Mining Berdasarkan Kepribadian Pengguna
ABSTRACT – A personality test or so-called psychotest is an activity of measuring through a systematic stage to reveal certain psychological aspects of the individual. One of the most accurate personality tests is the MBTI (Myer Briggs Type Indicator). The results of the MBTI test can be used for consideration of various interests, such as work or for certain interests, for example to find out one's strengths and weaknesses, to build relationships with other people and other interests. The purpose of this study is to produce an application that can provide information about the paint color of the room that the pengguna chooses based on the pengguna's personality type that has been predetermined using the MBTI test. The information displayed is in the form of support and confidence values ​​for the relationship between the pengguna's personality type and favorite paint color. item. In addition, the application can also provide information in the form of data analysis on the personality type and color chosen by the pengguna using the FP-Growth (Frequent Pattern Growth) algorithm. The FP-Growth algorithm is a development of the Apriori algorithm with the aim of collecting data that appears at the same time then grouping and creating a list of items that often appear. In determining the percentage results of support and confidence carried out by the system, it depends on the amount of data and the minimum amount of support that is input. More data will affect the percentage result and will speed up the analysis process using FP-Growth. By analyzing the results of frequent itemset, a rule can be formed that can be used by pengguna references in selecting or combining wall paint colors based on the pengguna's personality.
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