@inproceedings{6e37c646d24541bf8e0ad2f0eff4cdba,
title = "Big data visualization of the alcohol expenses in Taiwan",
abstract = "This study develops visual analytics of alcohol expenditure in multiple geographic areas using electronic-invoice (e-invoice) data. A data-cleansing technique is applied to extract alcohol-related transactions from more than 20 billion e-invoices in 2014 and 2015. Visual analytics are applied to summarize the intricate numeric and text information into various visual settings. The findings from this study suggest the CPI proportions with the country{\textquoteright}s alcohol expenditure on monthly consideration. Alcohol expenditure in Taiwan sharply increases during summer and winter seasons. Although northern metropolitan cities/counties such as Taipei city have the highest alcohol expenditure per-capita among inland cities/counties; the average alcohol expenditure per e-invoice of northern cities/counties is among the lowest in the country. E-invoice data enables the memory-recall bias to be avoided, thereby enhancing the accuracy of research outcome. Visual analytics systemize transaction information from billions of data into mappings, thereby elucidating the alcohol expenditure pattern of Taiwanese consumers.",
keywords = "Alcohol expenditure, Data visualization, Electronic invoice, Visual analytics",
author = "Shen, {Chien Wen} and Luong, {Thai Ha} and Chien, {Li An} and Ho, {Jung Tsung}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-93803-5_20",
language = "???core.languages.en_GB???",
isbn = "9783319938028",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "213--222",
editor = "Yuhui Shi and Qirong Tang and Ying Tan",
booktitle = "Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings",
}