Conference Information

ICBK 2018: IEEE International Conference on Big Knowledge

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Submission Date:
2018-06-20
Notification Date:
2018-08-20
Conference Date:
2018-11-17
Location:
Singapore
Viewed: 21113   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

43.1 / 100
Ranked #3,659 of 5,655 conferences · Top 65%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%)
19
Public record completeness (15%)
25

Inputs used: 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 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 2026-09-09

Call For Papers

ICBK 2018 (IEEE International Conference on Big Knowledge) is an academic conference held in Singapore on 2018-11-17. The paper submission deadline is 2018-06-20. Acceptance notifications are sent on 2018-08-20.

Aims and Scope Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference seeks to continuously advance the state-of-the-art in Big Knowledge. Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems Journal. Topics of Interest Topics of interest include, but are not limited to: Foundations, algorithms, models, and theory of big knowledge processing. Knowledge engineering with big data. Machine learning, data mining, and statistical methods for big knowledge science and engineering. Acquisition, representation and evolution of fragmented knowledge. Fragmented knowledge modeling and online learning. Knowledge graphs and knowledge map. Topology and fusion on fragmented knowledge. Visualization, personalization, and recommendation of big knowledge navigation and interaction. Big knowledge systems and platforms, and their efficiency, scalability, and privacy. Applications and services of big knowledge in all domains including web, medicine, education, healthcare, and business. Big Health Care Decision Making Crowdsourcing Data-driven Granular Cognitive Computing Deep Learning Edge Computing in Medical Analyticsg Graph Mining Intelligent Computing for Big Knowledge Network and Knowledge Graph Representation Learning Rule and Relationship Discovery Safe Data Analytics Submission Guidelines Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee on the basis of technical quality, relevance to Big Knowledge, originality, significance, and clarity. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.
Last updated by Dou Sun on

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