会议信息

DSBFI 2020: ISSAT International Conference on Data Science in Business, Finance and Industry

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截稿日期:
2020-04-15 延期
通知日期:
2020-04-30
会议日期:
2020-07-01
会议地点:
Da Nang, Vietnam
届数:
2
浏览: 13811   关注: 0   参加: 0
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会伴指数 (CP-I)

38.0 / 100
全站第 5,414 名 / 共 5,694 个会议 · 前 96%

管理与社会科学 第 65 / 73 数据挖掘与数据库 第 327 / 336

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：2 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-09

征稿

DSBFI 2020 (ISSAT International Conference on Data Science in Business, Finance and Industry) is an academic conference held in Da Nang, Vietnam on 2020-07-01. The paper submission deadline is 2020-04-15 (extended). Acceptance notifications are sent on 2020-04-30.

Aims and Scope The Second ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2020) conference provides an international forum for presentation of new results as well as exchanges and disseminates innovative and practical development experiences. The conference covers all aspects of data science in business, finance and industry including algorithms, modeling and applications. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for business, finance and industry to improve the quality of their products and services by effective use of data science. DSBFI draws researchers, application developers, and practitioners from a wide range of data science related areas such as statistics, business analytics, computer science, engineering, and applied science. By promoting novel, high-quality research findings and innovative solutions to challenging data science problems, the conference seeks to advance the state-of-the-art in data science. Topics of Interest Topics of interest for submission include, but are not limited to: Advanced Statistical Methods in Data Science Algorithms, Models and Theory of Data Mining Machine Learning and Statistical Methods for Data Mining Predictive Modeling and Analytics Machine Learning in Business, Finance and Industry Data Virtualization and Quality Data Mining Applications in Healthcare, Finance and Industry Application of Big Data in Industry Conversational Recommender Systems Quantitative Modeling in Big Data Data Warehouse for Business Intelligence Computer Vision - Algorithms and Applications Artificial Intelligence (AI) and Autonomous Machines Big Data Mining and Analytics Statistical Techniques and Tools for Data Science Healthcare Systems and Management Information and Data Processing in Business Spatial Data Analysis Search and Knowledge Discovery Data Intelligence and Security Security, Trust and Risk in Big Data Mobile Systems and Development for Handheld Devices Business and Operation Analytics Service Innovation and Management Supply Chain Management Systems Modeling and Simulation Technology and Knowledge Management Applications of data science in business, finance, social sciences, physical sciences, life sciences, web, marketing, precision medicine, education, health informatics, and industry Best Paper Awards / Journal Publications Two outstanding papers presented at the conference will be chosen for the ISSAT Best Paper and Best Student Paper Awards. Student must be first author and presenter at the conference to quality.
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