会議情報

SIMBig 2018: The Symposium on Information Management and Big Data

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投稿締切日:
2018-05-14
通知日:
2018-06-14
開催日:
2018-09-03
開催地:
Lima, Peru
開催回数:
5
閲覧: 13241   フォロー: 0   参加: 0

論文募集

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
最終更新:Dou Sun

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
CInformation & Management8.2Elsevier0378-7206
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Information Technology and Management2.9Springer1385-951X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312

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