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DDA 2018: International Conference on Decisions and Data Analysis

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投稿締切日:
2018-08-20 Extended
通知日:
2018-09-05
開催日:
2018-10-04
開催地:
Moscow, Russia
閲覧: 13622   フォロー: 2   参加: 0

論文募集

DDA 2018 (International Conference on Decisions and Data Analysis) is an academic conference held in Moscow, Russia on 2018-10-04. The paper submission deadline is 2018-08-20 (extended). Acceptance notifications are sent on 2018-09-05.

The conference will take place on 4-7th October, 2018 at Higher School of Economics in Moscow. It is aimed to bring together experts in the areas of data science and different application domains to share expertise and extend the horizons of possible collaboration. The conference topics The scope of the conference includes but not limited to the following topics: Data Science for Natural Science and Social Sciences Optimal Control theory Natural Language Processing Recommender systems and collaborative technologies Process mining Analytics for geoinformation systems Analysis of images and video Discovering and analyzing processes using event data Game analytics Core Data Mining and Machine Learning techniques Semantic Web and Ontologies Educational Data Mining Social Network Analysis Submission Guidelines The papers must be written in English and formatted accordingly to the Springer LNCS style. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Full papers (up to 12 pages) Short papers (up to 6 pages) Submission link https://easychair.org/conferences/?conf=dda2018
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
Computational Statistics & Data Analysis1.6Elsevier0167-9473
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
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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