Analytical toolbox for smart city applications: Garbage collection log use case
Autor: | Hideyuki Tokuda, Toshiyuki Amagasa, Hiroyuki Kitagawa, Jin Nakazawa, Takahiro Komamizu |
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Rok vydání: | 2017 |
Předmět: |
Data cleansing
business.industry Computer science 05 social sciences Big data 02 engineering and technology computer.software_genre Toolbox Visualization Data visualization 020204 information systems Smart city 0502 economics and business 0202 electrical engineering electronic engineering information engineering Data analysis business Software engineering computer 050203 business & management Data integration |
Zdroj: | IEEE BigData |
Popis: | Analyzing and feeding back the results on real-world services are important missions in the Big Data era to realize smart city. However, analyzing real-world data is still challenging because of dirtiness of data and large variety of analytic requirements. To cope with the challenges, this paper proposes and develops an analytical toolbox for smart city applications. The analytical toolbox consists of three phases: preparation, analysis, and visualization. The preparation phase deals with the dirtiness of the data by including fundamental data cleansing techniques and data integration techniques. The analysis phase is responsible for ETL (extract, transform and load) process and analytical query processing from the next phase. The visualization phase deals with analytical requirements from users and visualization of analytical results. This paper showcases a real-world use case of the proposed analytical toolbox. The use case is now open in public with help of Fujisawa city, Japan, and this fact indicates that the proposed analytical toolbox is feasible for real-world data analysis and feeding back to citizens. |
Databáze: | OpenAIRE |
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