Conference Information

ICBDM 2024: International Conference on Big Data in Management

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Submission Date:
2024-10-10
Notification Date:
2024-10-25
Conference Date:
2024-12-14
Location:
Chiang Mai, Thailand
Years:
5
Viewed: 5555   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.2 / 100
Ranked #3,673 of 5,682 conferences · Top 65%

#218 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%)
8
Public record completeness (15%)
35

Inputs used: Editions on record: 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 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 2026-09-16

Call For Papers

ICBDM 2024 (International Conference on Big Data in Management) is an academic conference held in Chiang Mai, Thailand on 2024-12-14. The paper submission deadline is 2024-10-10. Acceptance notifications are sent on 2024-10-25.

Papers related to the conference theme are especially solicited, including theories, methodologies, and emerging applications. The following contributions, including but not limited to the following technical areas, are invited: • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data • Algorithms and Systems for Big Data Search • Distributed, and Peer-to-peer Search • Big Data Search Architectures, Scalability and Efficiency • Data Acquisition, Integration, Cleaning, and Best Practices • Visualization Analytics for Big Data • Computational Modeling and Data Integration • Large-scale Recommendation Systems and Social Media Systems • Cloud/Grid/Stream Data Mining- Big Velocity Data • Link and Graph Mining • Semantic-based Data Mining and Data Pre-processing • Mobility and Big Data • Multimedia and Multi-structured Data- Big Variety Data • Social Web Search and Mining • Web Search • Intrusion Detection for Gigabit Networks • Anomaly and APT Detection in Very Large Scale Systems • High Performance Cryptography • Visualizing Large Scale Security Data • Threat Detection using Big Data Analytics • Privacy Threats of Big Data • Privacy Preserving Big Data Collection/Analytics • HCI Challenges for Big Data Security & Privacy • User Studies for any of the above • Sociological Aspects of Big Data Privacy • Trust management in IoT and other Big Data Systems • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication • Big Data Analytics in Small Business Enterprises (SMEs) • Big Data Analytics in Government, Public Sector and Society in General • Real-life Case Studies of Value Creation through Big Data Analytics • Big Data as a Service • Big Data Industry Standards • Experiences with Big Data Project Deployments
Last updated by Dou Sun on

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