会议信息

CiDaS 2019: International Conference on Contemporary Issues in Data Science

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
CiDaS
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2018-12-09 Extended
通知日期:
2019-02-12
会议日期:
2019-03-06
会议地点:
Zanjan, Iran
浏览: 13286   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,137 名 / 共 5,682 个会议 · 前 73%

数据挖掘与数据库 第 252 / 337

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 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 25% —— 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 2026-09-18

征稿

CiDaS 2019 (International Conference on Contemporary Issues in Data Science) is an academic conference held in Zanjan, Iran on 2019-03-06. The paper submission deadline is 2018-12-09 (extended). Acceptance notifications are sent on 2019-02-12.

CiDaS aims at providing first class environment for data scientists and other related areas and disciplines, who use data science innovations in their field, to brainstorm and share their novel research results. This is not limited only to scientists and academics, but also industries and organisations. To this aim, we accept applied as well as fundamental research papers. Survey papers are also welcome to this conference. We would also welcome papers that show the application of novel data science and big data techniques and tools in other areas such as healthcare, manufacturing, finance and etc. Main topics to be addressed in the CiDaS conference include, but not limited to: Big Data Analysis Linked Open Data Scalable Machine Learning Distributed Data Storage and Analysis Algorithmic and Statistical Techniques for Big Data Privacy and Ethics Machine Learning and Data science Deep Learning Text Mining and Natural Language Processing Statistical Pattern Recognition Statistical Models in Data Science Probabilistic graphical models Semantic Data Science Knowledge Discovery Semantic Technologies Novel Information Retrieval Linked data and Semantic Web Ontologies Graph and Network Analysis Applied Data Science Computer vision Biological data analysis and Bioinformatics Social network analysis Large Scale Data retrieval and analysis in Smart Cities Data Science for Gamification IoT and WoT Industry 4.0 Malware detection All submissions should be in English. All accepted full papers will be published as a book chapter by Springer (tbc). Authors are requested to use the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions. Submissions should be in PDF format. Two types of submissions will be accepted: (1) Full paper and (2) Short paper. Full paper submissions are not allowed to exceed 11 pages including references. Short paper submissions should be maximum 6 pages. At least one author of accepted papers should register to the conference and present the paper. All accepted papers should be presented in the conference. “No Show” papers will not appear in the conference publications.
由 Dou Sun 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

评论 0

暂无评论。

请登录后发表评论