@inproceedings{5c03226c95924026bc0c32a169494639,
title = "Toward Compact Data from Big Data",
abstract = "Bigdata is a dataset of which size is beyond the ability of handling a valuable raw material that can be refined and distilled into valuable specific insights. Compact data is a method that optimizes the big dataset that gives best assets without handling complex bigdata. The compact dataset contains the maximum knowledge patterns at fine grained level for effective and personalized utilization of bigdata systems without big data. The compact data method is a tailor-made design which depends on problem situations. Various compact data techniques have been demonstrated into various data-driven research area in the paper.",
keywords = "Bigdata, artificial intelligent, compact data, data complexity, data reduction, machine learning, statistical modeling",
author = "Kim, \{Song Kyoo Amang\}",
note = "Publisher Copyright: {\textcopyright} 2020 Infonomics Society.; 15th International Conference for Internet Technology and Secured Transactions, ICITST 2020 ; Conference date: 08-12-2020 Through 10-12-2020",
year = "2020",
month = dec,
day = "8",
doi = "10.23919/ICITST51030.2020.9351315",
language = "English",
series = "2020 15th International Conference for Internet Technology and Secured Transactions, ICITST 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 15th International Conference for Internet Technology and Secured Transactions, ICITST 2020",
address = "United States",
}