International Workshop on Data Science: Methodologies and Use-Cases
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When : 2017-09-24
Where : Nicosia,Cyprus
Submission Deadline : 2017-04-25
Categories : Cloud Computing , visualization
International Workshop on Data Science: Methodologies and Use-Cases (DaS 2017)
September 24, 2017
Nicosia, Cyprus
Call for Papers:
Data science is an interdisciplinary field about scientific processes, methodologies, and systems to extract useful knowledge or insights from data in various forms. Data can be analyzed using data mining, machine learning, data analysis and statistics, optimizing processes and maximizing the knowledge exploitation in real-life settings.
DaS 2017 is a workshop aimed at fostering and sharing research and innovation on data science. The workshop will allow researchers and practitioners to exchange their ideas and experiences on designing and developing data science applications, to discuss the main open issues and to share novel solutions for data management and analytics.
Topics:
- Big Data frameworks and architectures
- Bio-sciences and healthcare
- Business analytics and finance
- Case studies on data management and analytics for small and big data
- Cloud computing techniques for data science
- Data warehouses and large-scale databases
- Experiences with data-driven project development and deployment
- Financial applications
- Industry 4.0
- Internet of Things
- Methodologies, models, algorithms, and architectures for data science
- Parallel and distributed computing for data science
- Personalization and recommendation techniques for Big Data
- Research challenges on data management and analytics
- Scalable and/or descriptive data mining and Machine learning techniques for knowledge discovery
- Urban economy and urban environments
- User-generated content (like tweets, micro-blog)
- Visualization methods for data-intensive applications
Important Dates:
- Paper Submission: April 25, 2017
- Author Notification: June 02, 2017
- Final Version Due : June 25, 2017
User Name : Claude
Posted 06-03-2017 on 14:44:54 AEDT
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