Abstract
Smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents a bibliometric analysis to provide a comprehensive overview of studies associated with DM technologies used in smart cities applications. The study aims to identify the main DM techniques used in the context of smart cities and how the research field of DM for smart cities evolves over time. We adopted both qualitative and quantitative methods to explore the topic. We used the Scopus database to find relative articles published in scientific journals. This study covers 197 articles published over the period from 2013 to 2021. For the bibliometric analysis, we used the Biliometrix library, developed in R. Our findings show that there is a wide range of DM technologies used in every layer of a smart city project. Several ML algorithms, supervised or unsupervised, are adopted for operating the instrumentation, middleware, and application layer. The bibliometric analysis shows that DM for smart cities is a fast-growing scientific field. Scientists from all over the world show a great interest in researching and collaborating on this interdisciplinary scientific field.
Highlights
The results were exported in BibTex file format, which is compatible with the Bibliometrix library
The design and implementation of smart city applications are extremely complex actions, and the choice and use of the appropriate Data Mining (DM) techniques and tools for the communication between real and digital worlds have a crucial role in operation success
This study aimed to provide a comprehensive view of research published in the literature associated with DM algorithms for smart cities, based on bibliometric analysis using Scopus data from 2013 to February 2021
Summary
The last few decades have observed an unprecedented trend of people moving to live in urban areas, as cities accelerate time by compressing space [1]. The year 2008 was a milestone when for the first time, the urban population surpassed that of rural areas; it is foreseen that until 2050, two-thirds of the global population will be metropolitan inhabitants [2,3]. This trend of people moving to cities causes immense pressure on city infrastructures [4]. Ever since the first cities were built, they have been dependent on technology to sustain life and produce ever more sophisticated technologies and tools [5].
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