Conference Information

SIMBig 2018: The Symposium on Information Management and Big Data

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Submission Date:
2018-05-14
Notification Date:
2018-06-14
Conference Date:
2018-09-03
Location:
Lima, Peru
Years:
5
Viewed: 14101   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

41.7 / 100
Ranked #4,631 of 5,693 conferences · Top 82%

#192 of 253 in Information Systems & Web #275 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%)
25

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 2026-10-02

Call For Papers

SIMBig 2018 (The Symposium on Information Management and Big Data) is an academic conference held in Lima, Peru on 2018-09-03. The paper submission deadline is 2018-05-14. Acceptance notifications are sent on 2018-06-14.

All submissions will be reviewed by at least three program committee members. The submissions will be judged on originality, relevance, technical quality and presentation. SIMBig is one of the first conferences grouping related areas such as Data Science, Big Data, NLP and Semantic Web, etc, in Latin America. We would like to thank you in advance for your scientific contribution to the 5th SIMBig and look forward to having the opportunity to showcase and disseminate your research. Authors are invited to submit original and innovative papers that break new ground, present insightful results based on your experience in Data Science. SIMBig 2018 has a broad scope, and specific topics of interest include (but are not limited to): -Data Science -Big Data -Data Mining -Natural Language Processing -Semantic Web -Bio NLP, Healthcare Informatics -Text Mining -Information Retrieval -Machine Learning -Ontologies, Knowledge Representation, Linked Open Data -Social Networks, Social Web, and Web Science -Information visualization -OLAP, Data warehousing, Business intelligence -Spatiotemporal Data -Agent-based Systems -Constraints, Satisfiability, and Search
Last updated by Dou Sun on

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