Conference Information

BigDIA 2024: International Conference on Big Data and Information Analytics

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Submission Date:
2024-08-10
Notification Date:
2024-09-01
Conference Date:
2024-10-25
Location:
Ching Mai, Thailand
Years:
10
Viewed: 18520   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

46.9 / 100
Ranked #2,210 of 5,647 conferences · Top 40%

#131 of 336 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%)
65
Community attention (10%)
12
Public record completeness (15%)
35

Inputs used: Editions on record: 10 · Researchers who opened this page in the past 24 months: 4

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 2026-09-03

Call For Papers

BigDIA 2024 (International Conference on Big Data and Information Analytics) is an academic conference held in Ching Mai, Thailand on 2024-10-25. The paper submission deadline is 2024-08-10. Acceptance notifications are sent on 2024-09-01.

The BigDIA 2024 will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision-making. Topics of interest include, but are not limited to: Fundamental theories for Big Data analytics Statistical theories for Big Data Computer science theories for Big Data Mathematical theories for Big Data Big Data computing: architecture, infrastructure, database, algorithm, platform, visualization Programming models and environments for cluster, cloud, and grid computing to support Big Data Swarm intelligence Cognitive computing for Big Data Application areas EHR and health care Big Data Bioinformatics Precision medicine Multimedia and multi-structured Data Finance and economics Wearable or mobile device data Internet of things Big Data prediction and decision-support systems Cloud/Grid/Stream data mining- big velocity data Big Data management in cloud Industrial Big Data
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