Juan Carlos Amézquita Tovar, Nelson Giovani Agudelo Cristancho, Yuli Andrea Rodriguez Parra
{"title":"Machine Learning to Detect Inconsistent Data","authors":"Juan Carlos Amézquita Tovar, Nelson Giovani Agudelo Cristancho, Yuli Andrea Rodriguez Parra","doi":"10.1109/SmartNets55823.2022.9994023","DOIUrl":"https://doi.org/10.1109/SmartNets55823.2022.9994023","url":null,"abstract":"Nowadays, information is one of the main assets of companies and government entities; it facilitates decision-making and the determination of policies. However, their results are not always satisfactory due to the low-quality information. Data sets with duplicate, inconsistent, incomplete, outdated, and imprecise data are the most common causes that affect the quality of the information and therefore the results of its analysis. Cleaning data becomes fundamental for those reasons, it is a process that must be carried out before doing any analysis on a certain set of data, but at the same time is a cumbersome process. This article aims to give an overview of how machine-learning techniques may be used to simplify the task of cleaning data. The data cleaning is made by the use of machine learning to identify the inconsistent data. The study case is a data set from a government entity of a program focused on needs in early childhood. The experimental results show that supervised learning has a better performance to identify inconsistent data than unsupervised learning and that is an efficient way to clean data in this dimension.","PeriodicalId":321492,"journal":{"name":"International Conference on Smart Communications and Networking","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132785765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Validated Model for Citizen Engagement and Smartness of Cities","authors":"Sukaina Al Nasrawi","doi":"10.1109/SmartNets48225.2019.9069794","DOIUrl":"https://doi.org/10.1109/SmartNets48225.2019.9069794","url":null,"abstract":"The development of the concept of Smart Sustainable Cities (SSCs) and the alteration of its definition increased the fuzziness of the notion of urban “smartness” and its evaluation. A thorough analysis of the literature shows that being “Smart” means different things to different people. In selected cases, a city claims smartness upon the implementation of selected smart solutions. In other cases, cities claim smartness for developing a sound infrastructure leading the way to an enabling environment for SSCs. In other cases, cities claim to be smart simply based on their use of advanced technologies. The examples are numerous and the claims for smartness by cities are countless especially that being associated with the labels “Smart” and “sustainable” is a sign of development. Given this discrepancy in the interpretation of the concept of smartness, it becomes crucial to identify its core attributes and capture them when assessing the performance of SSCs. Accordingly, this paper proposes a model that addresses this issue and sheds lights on a seldom disregarded aspect that is the engagement of citizens. This paper identifies the engagement of citizens as a critical condition for the successful implementation of SSCs and a central aspect of their smartness. It proposes a model based on the Capability Approach and the human scale development approach framing the essential attributes of smartness of cities. It shows that smartness is not limited to the smart solutions implemented to serve the needs of the city. It is a culmination of the solutions implemented added to the capability of citizens to engage in the decision-making process of these solutions, thereby enabling them to live the lives they desire. Moreover, this paper presents parts of a validation exercise capturing the insights of experts in the field from various countries around the World in an attempt to confirm the importance and novelty of the building blocks of the proposed model focused on assessing the smartness of a SSC.","PeriodicalId":321492,"journal":{"name":"International Conference on Smart Communications and Networking","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122863472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}