WEKO3
アイテム
Big data analytics - towards the enrichment of content tourism for revitalization of Japanese rural area
https://kitami-it.repo.nii.ac.jp/records/8890
https://kitami-it.repo.nii.ac.jp/records/889069f74aa4-52e5-4934-9a5e-eecd597fa63a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
MATEC Web of Conferences 169, 01008 (2018) (561.6 kB)
|
.png)
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-01-17 | |||||
| タイトル | ||||||
| タイトル | Big data analytics - towards the enrichment of content tourism for revitalization of Japanese rural area | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 著者 |
Bakdur, Ali
× Bakdur, Ali× Masui, Fumito× Ptaszynski, Michal |
|||||
| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 304 | |||||
| 識別子Scheme | KAKEN - 研究者検索 | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000080324549/ | |||||
| 識別子 | 80324549 | |||||
| 姓名 | 桝井, 文人 | |||||
| 言語 | ja | |||||
| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 90352 | |||||
| 識別子Scheme | CiNii ID | |||||
| 識別子URI | http://ci.nii.ac.jp/nrid/9000006924461 | |||||
| 識別子 | 9000006924461 | |||||
| 識別子Scheme | KAKEN - 研究者検索 | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000060711504/ | |||||
| 識別子 | 60711504 | |||||
| 姓名 | プタシンスキ, ミハウ | |||||
| 言語 | ja | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Japan's domestic travel and tourism industry expenditure has been declining gradually since 1998 (from 33.5 in 1998 to 21.6 trillion JPY in 2016). Our research purpose is to construct a data analysis model to transform the collected data to a meaningful graphical format by using big data analytics techniques to discover anomalies and sustainable development possibilities for economy and tourism of Japan's rural areas, with a particular focus on the prefecture of Hokkaido, subprefecture of Okhotsk. To strengthen the reliability of this model we apply popular Monte Carlo simulation combined with Bayesian statistic and implement it on an Apache Spark platform to acquire results within the span of the study. Through this research, we focus on observing and analyzing interests, expectations and tendencies of Japanese people living in rural areas. From such collected information, we can obtain reasons for the decline of this sector’s impact on Japan’s economy. Measuring public awareness has become more efficient since the content generator role has been passed on to ordinary people. Therefore, the analysis of Big Data with the use of data science techniques has become important to comprehend human behavior from multiple points of view, including the scientific, economic, political, historical and sociological. | |||||
| 言語 | en | |||||
| 書誌情報 |
en : MATEC Web of Conferences 巻 169, p. 01008, 発行日 2018 |
|||||
| ISSN | ||||||
| 収録物識別子タイプ | EISSN | |||||
| 収録物識別子 | 2261-236X | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1051/matecconf/201816901008 | |||||
| 権利 | ||||||
| 権利情報 | c The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). | |||||
| 出版者 | ||||||
| 出版者 | EDP Sciences | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
