Conference Information

BigDataService 2025: IEEE International Conference on Big Data Computing Service and Machine Learning Applications

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Submission Date:
2025-05-01
Notification Date:
2025-05-26
Conference Date:
2025-07-21
Location:
Tucson, Arizona, USA
Years:
11
Viewed: 22165   Tracked: 12   Attend: 2

Conference Partner Index (CP-I)

49.6 / 100
Ranked #1,643 of 5,680 conferences · Top 29%

#88 of 337 in Data Mining & Databases #163 of 739 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%)
67
Community attention (10%)
35
Public record completeness (15%)
35

Inputs used: Editions on record: 11 · Researchers following it here: 12 · Researchers who opened this page in the past 24 months: 3

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 2026-09-11

Call For Papers

BigDataService 2025 (IEEE International Conference on Big Data Computing Service and Machine Learning Applications) is an academic conference held in Tucson, Arizona, USA on 2025-07-21. The paper submission deadline is 2025-05-01. Acceptance notifications are sent on 2025-05-26.

List of Topics (including but not limited to): Big Data Analytics and Machine Learning Algorithms and systems for big data analytics Big data Machine learning, predictive and causal analytics Visualization and visual analytics systems for big data Knowledge modeling, extraction, discovery, analysis, and presentation Big data Business intelligence Optimization and agentic models for big data Artificial intelligence models at scale Large language models Neuro-symbolic approaches at large scale Integrated and Distributed Systems Sensor networks Internet of Things, web of things Networking and protocols Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.) Big Data Platforms and Technologies Innovative, concurrent, and scalable big data platforms Data indexing, cleaning, transformation, and curation technologies Big data processing frameworks and technologies Big data services and application development methods and tools Big data quality evaluation and assurance technologies Big data system reliability, dependability, and availability Open-source development and technology for big data Big Data as a Service (BDaaS) platform and technologies Big Data Foundations Foundational theoretical or computational models for big data Programming models, theories, and algorithms for big data Standards, protocols, and quality assurance for big data Big Data Applications and Experiences Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security Experiences and case studies of big data applications and services Real-world and large-scale practices of big data
Last updated by Dou Sun on

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