2019 2nd International Conference on Big Data Technologies

Welcome to 2019 2nd International Conference on Big Data Technologies


2019 2nd International Conference on Big Data Technologies has the goal to be an annual conference for researchers, academicians and industry persons in the field of Computer Science. It will be held at Inzone Garland Hotel Jinan in Jinan, China during August 28-30, 2019. It's organized by University of Jinan, China, and co-organized by Shandong University, Guizhou University, Shandong Normal University, Shandong University of Science and Technology. We hope that this conference will attract a large number of delegates from all over the world and will consist of very high quality technical sessions.

Good News!
ICBDT2019 proceedings is online via https://dl.acm.org/citation.cfm?id=3358528

随着大数据分析日益加快地渗透到各行各业,大数据正以一种全新的生产方式改变着世界。为促进该领域的经验交流,由济南大学主办, 山东大学、贵州大学、山东师范大学、山东科技大学, 青岛大学协办的2019年第二届大数据科技国际会议(ICBDT 2019), 本次会议于2019年8月28-30日在中国·济南·济南银座佳悦酒店召开,为期三天, 欢迎踊跃投稿参加


Conference Proceedings | 论文集出版


ICBDT 2019 Conference Proceedings will be published in the International Conference Proceedings Series by ACM, which will be archived in the  ACM Digital Library, and indexed by EI Compendex,  Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). The ISBN number assigned to ICBDT2019 is 978-1-4503-7192-6

会议收录的文章将以ICBDT 2019 论文集形式出版由ACM出版, 并由ACM在线数据库收录,被 EI Compendex 和 Scopus 检索, 文章作者将被邀请参会展示研究报告。
ICBDT 2019 论文集已经取得出版刊号:978-1-4503-7192-6

ICBDT 2018 | ISBN: 978-1-4503-6427-0 | Archived in ACM Digital Library | Indexed by EI Compendex and Scopus.
ICBDT 2018 会议论文集已被ACM数据库收录, 并被 EI Compendex 和 SCOPUS 检索

Due to the explosive evolution of Information Technology and Computer Science, we have entered in the Big Data Age, and this is really a scientific revolution, not just a fashion. As always, the technological aspects evolve faster than the scientific community mentality. Transforming Big Data into Big Knowledge and developing a new kind of Knowledge-Based Systems require new visions and approaches.
It will help You to :
· Get greater understanding of Big Data Technologies
· Gain deeper insights on Big Data use cases across various domains and industries
· Unravel new possibilities by using Big Data to support your academic & research work


For publication purpose, please submit Full Manuscript / No publication purpose, only presentation, please submit Abstract
有出版目的的投稿,请投稿全文; 若只想在ICBDT 2019 上展示报告,请投稿摘要

We welcome and encourage the submission of high-quality, original papers, which are not being submitted simultaneously for publication elsewhere. Papers should be written in English, formatted according to the Paper Template, and with at least 4 pages’ length.