Analytical toolbox for smart city applications: Garbage collection log use case

Takahiro Komamizu, Jin Nakazawa, Toshiyuki Amagasa, Hiroyuki Kitagawa, Hideyuki Tokuda

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
編集者Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4105-4110
ページ数6
ISBN(電子版)9781538627143
DOI
出版ステータスPublished - 2017 7 1
イベント5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
継続期間: 2017 12 112017 12 14

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
2018-January

Other

Other5th IEEE International Conference on Big Data, Big Data 2017
国/地域United States
CityBoston
Period17/12/1117/12/14

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • 情報システムおよび情報管理
  • 制御と最適化

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