Conference Information
ISBDAI 2018: International Symposium on Big Data and Artificial Intelligence
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Conference Partner Index (CP-I)
#194 of 337 in Data Mining & Databases #404 of 741 in Artificial Intelligence & Machine Learning
| 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%) | No data - scored at the neutral baseline of 50 | — |
| Community attention (10%) |
|
26 |
| Public record completeness (15%) |
|
25 |
Inputs used: Researchers following it here: 5 · 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 25% - 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 2026-09-26
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Call For Papers
ISBDAI 2018 (International Symposium on Big Data and Artificial Intelligence) is an academic conference held in Hong Kong, China on 2018-12-29. The paper submission deadline is 2018-09-30. Acceptance notifications are sent on 2018-10-15.
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Related Journals
| CCF | Full Name | Impact Factor | Publisher | ISSN |
|---|---|---|---|---|
| Journal of Big Data | 6.4 | Springer | 2196-1115 | |
| Big Data Research | 4.2 | Elsevier | 2214-5796 | |
| A | IEEE Transactions on Multimedia | 9.7 | IEEE | 1520-9210 |
| C | Knowledge-Based Systems | 7.2 | Elsevier | 0950-7051 |
| B | Software & Systems Modeling | 3.2 | Springer | 1619-1366 |
| A | IEEE Transactions on Computers | 3.8 | IEEE | 0018-9340 |
| C | Future Generation Computer Systems | 5.9 | Elsevier | 0167-739X |
| C | Neurocomputing | 6.5 | Elsevier | 0925-2312 |
| C | Pattern Recognition Letters | 3.9 | Elsevier | 0167-8655 |
| B | Pattern Recognition | 7.6 | Elsevier | 0031-3203 |
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