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INFUS 2019: International Conference on Intelligent and Fuzzy Systems

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投稿締切日:
2018-12-15
通知日:
2019-03-15
開催日:
2019-07-23
開催地:
Istanbul, Turkey
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論文募集

INFUS 2019 (International Conference on Intelligent and Fuzzy Systems) is an academic conference held in Istanbul, Turkey on 2019-07-23. The paper submission deadline is 2018-12-15. Acceptance notifications are sent on 2019-03-15.

INFUS is an acronym for Intelligent and Fuzzy Systems. It is a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing for applied research in general and for complex engineering and decision support systems. The principal mission of INFUS is bridging the gap between fuzzy & intelligence systems and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together. INFUS 2019 is the first conference on intelligence and fuzzy systems. The conference will be held in Istanbul, “the only bridge in the world that connects two continents, Asia and Europe. INFUS 2019 proceedings will be published as a book by the Springer and will be indexed in Scopus. Special issues of several SCI indexed journals will be devoted to a peer refereed selection of extended papers. Conference Theme Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making Big data analytics refers to the strategy of analyzing large volumes of data, or big data. Big data are gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. The aim in analyzing all these data is to uncover patterns and connections that might otherwise be invisible, and that might provide valuable insights about the users who created it. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge driven approaches and techniques have been widely used in decision making, and they are increasingly attracting great attention due to their importance and effectiveness in addressing uncertainty and incompleteness. The information explosion via the spread of digital technologies impacts the ways we can study and understand the dynamics of socio-economic-political systems by increasing the variety, availability, and complexity of the data available to both qualitative and quantitative research scientists. These new information sources can importantly also support integrated approaches that can be more effective than either pure approach. INFUS 2019 on intelligence and fuzzy systems with applications provides an international forum that brings together those actively involved in areas of interest to Data Science and Knowledge Engineering with their applications in decision making problems under uncertainty and incompleteness to support sensible decision making in different areas. The conference will feature plenary talks given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. INFUS 2019 invites submissions related to all aspects of intelligent and fuzzy systems, specially within the research fields, which can be theoretical formalisms, methodologies; algorithms investigation, survey or practical applications.
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
Journal of Intelligent & Fuzzy Systems1.0IOS Press1064-1246
cFuzzy Sets and Systems2.7Elsevier0165-0114
International Journal of Fuzzy Logic and Intelligent SystemsKorean Institute of Intelligent Systems1598-2645
Fuzzy Information and EngineeringTaylor & Francis1616-8658
bIEEE 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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