Introduction
The IEEE Workshop on “Sparse, Uncertain, and Incomplete Data Modeling and Online Learning (DMOL)” will be held on August 10, 2017, in conjunction with the IEEE International Conference on Big Knowledge (ICBK 2017), which takes place between August 9 and August 10 2017 in Hefei, Anhui, China, and which provides a leading international forum for disseminating the latest research in the growing field of “big knowledge”.
The goal of the workshop is to address innovative techniques, metrics, and applications that can exploit data modeling and online learning capabilities to address the Sparse, Uncertain, and Incomplete data challenges facing real-world applications.
Call for paper
Important date
Submission Topics
Research Topics Covered: Manuscripts are solicited to address a wide range of topics in Sparse, Uncertain, and Incomplete Data Modeling and Online Learning, but not limited to the following:
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Data Streaming Mining
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Feature Streaming Mining
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Sparse Data/Knowledge Representation
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Concept Drifting Detection on Big Data
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Collaborative Learning on Big Data
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Mining from Multiple Data Sources
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Uncertain Data Stream Mining
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Important Date
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Aug 10
2017
Conference Date
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May 10 2017
Draft paper submission deadline
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May 30 2017
Draft Paper Acceptance Notification
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Jun 15 2017
Final Paper Deadline
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Aug 10 2017
Registration deadline
Sponsored By
Organized By
Contact Information
- Zhongqiu Zhao
- z.******@hfut.edu.cn
- Peipei Li
- pe******@hfut.edu.cn
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