Conference Information

ICDSC' 2020: IEEE International Conference on Data Science in Cyberspace

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
ICDSC'
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2020-05-17 Extended
Notification Date:
2020-06-23
Conference Date:
2020-07-27
Location:
Hong Kong, China
Years:
5
Viewed: 14429   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

42.8 / 100
Ranked #3,803 of 5,684 conferences · Top 67%

#223 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
48
Community attention (10%)
19
Public record completeness (15%)
25

Inputs used: Editions on record: 5 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-23

Call For Papers

ICDSC' 2020 (IEEE International Conference on Data Science in Cyberspace) is an academic conference held in Hong Kong, China on 2020-07-27. The paper submission deadline is 2020-05-17 (extended). Acceptance notifications are sent on 2020-06-23.

Scope: The 5th IEEE International Conference on Data Science in Cyberspace (IEEE DSC) will be held in Hong Kong, China, June 24-27, 2020. Over the past four years, IEEE DSC has become one of the most important and attractive international conferences, mainly focusing on data science and its application in cyberspace. The conference will feature world-class speakers, workshops, demonstrations, exhibits, and innovative programs. Data Science, as a highly interdisciplinary field, is playing a more and more critical and central role in the development of cyberspace and various applications. Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing. Conference Areas: The IEEE International Conference on Data Science in Cyberspace (IEEE DSC) will bring together researchers and practitioners in the field of data science. IEEE DSC 2020 invites submissions on a wide spectrum of topics, including but not limited to the following areas: Data Science Big Data Data Intensive Applications in Cyberspace Data Intensive Systems Social Networks & Social Media Data Mining, Knowledge Discovery and Machine Learning Information Retrieval and Smart Search Cyberspace Security, Privacy and Trust Network Wisdom Data Security and Privacy
Last updated by Dou Sun on

Related Journals

CCFFull NameImpact FactorPublisherISSN
Computing in Science & Engineering1.9IEEE1521-9615
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

Comments 0

No comments yet.

Please Login to post a comment