@inproceedings{d2f20e2ba9dd4968bf7c5642c0b93ba0,
title = "A visual analytics on mortality of malignant neoplasm and organic food",
abstract = "The rise of organic food consumption globally is the evidence of consumer expectation for better health. Despite the fact that many research favorable toward the idea that more organic food means more health there are research who reject this notion. The basis of rejection toward this idea are varied, from the perspective of efficiency in organic food cultivation process to the research methodology itself. Due to the preface, this research tapping into the issue with the approach of advanced visual analytics with cluster analysis that enables comparison and analyze over 37 million electronic invoice (e-invoice) data of organic food expenditure and 7 thousand data related to death caused by malignant neoplasm of trachea, bronchus and lung. Our results indicate the negative correlations between organic food expenditure and mortality rate of the case chosen. This finding can be a significant insight for government as a justification to accelerate the organic food consumption. This research also contributes to the academic dialectical narrative regarding this issue as well as for the practitioner.",
keywords = "Cluster analysis, Disease mortality, Electronic invoice, Organic food, Visual analytics",
author = "Shen, {Chien wen} and Irfandi Djailani and Tang, {Cheng Wei}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 4th International Conference on Data Mining and Big Data, DMBD 2019 ; Conference date: 26-07-2019 Through 30-07-2019",
year = "2019",
doi = "10.1007/978-981-32-9563-6_2",
language = "???core.languages.en_GB???",
isbn = "9789813295629",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "13--22",
editor = "Ying Tan and Yuhui Shi",
booktitle = "Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings",
}