LoRa-Based Smart Waste Bins Placement using Clustering Method in Rural Areas of Indonesia

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2022-11-28 DOI:10.15849/ijasca.221128.08

Aa Zezen Abidin1

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引用次数: 0

Abstract

Abstract ATP Tennis stands for the “The Association of Tennis Professionals” which is the primary governing body for male tennis players. ATP was formed in Sep 1972 for professional tennis players. A study has been done on tennis players’ datasets to implement supervised machine learning techniques to illustrate match data and make predictions. An appropriate dataset has been chosen, data cleaning has been implemented to extract anomalies, data is visualized via plotting methods in R language and supervised machine learning models applied. The main models applied are linear regression and decision tree. Results and predictions have been extracted from the applied models. In the linear regression model, the correlation is calculated to find the relation between dependent and independent variables, furthermore the results and prediction are extracted from the linear regression model. Also, three hypotheses are applied for multiple linear regression model. The decision tree modeled the best of 3 or best of 5 sets of matches and predicted which set of matches would be considered best. Keywords: Machine Learning, supervised learning, linear regression, decision tree, R language, Tennis, ATP.

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基于LoRa的智能垃圾箱在印度尼西亚农村地区的聚类放置

摘要ATP Tennis代表“网球职业协会”，它是男子网球运动员的主要管理机构。ATP成立于1972年9月，面向职业网球运动员。对网球运动员的数据集进行了一项研究，以实现监督机器学习技术来说明比赛数据并进行预测。选择了合适的数据集，实现了数据清理以提取异常，通过R语言中的绘图方法对数据进行可视化，并应用了监督机器学习模型。应用的主要模型是线性回归和决策树。已经从应用的模型中提取了结果和预测。在线性回归模型中，计算相关性以找到因变量和自变量之间的关系，并从线性回归模型提取结果和预测。同时，对多元线性回归模型提出了三个假设。决策树对3个最佳或5个最佳的匹配集进行建模，并预测哪个匹配集将被认为是最佳的。关键词：机器学习，监督学习，线性回归，决策树，R语言，网球，ATP。

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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.