Aims
and Goals:
Building and promoting the
field of data science and analytics in terms of publishing work on theoretical
foundations, algorithms and models, evaluation and experiments, applications
and systems, case studies, and applied analytics in specific domains or on
specific issues.
Specific Topics:
This series encourages proposals on
cutting-edge science, technology and best practices in the following topics
(but not limited to):
·
Data analytics, data
science, knowledge discovery, machine learning, deep learning, big data,
statistical and mathematical methods, exploratory and applied analytics,
·
New scientific findings and
progress ranging from data capture, creation, storage, search, computing, sharing,
analysis, and visualization,
·
Integration methods, best
practices and typical applications across heterogeneous, multi-sources, domains
and modals for data-driven real-world decision-making, and value creation.
Suggested Titles for Proposals:
- Introduction
to data science
- Data science
fundamentals
Applied
analytics
- Advanced
analytics: concepts and applications
- Banking data
analytics
- Behavior
analytics
- Big data
analytics
- Biomedical
data analytics
- Business
analytics
Cloud
analytics
- Computational
intelligence methods for data science
- Data
visualization
- Data
optimization
- Data
representation
- Distributed
analytics and learning
- Educational
data analytics
Environmental
data analytics
- Ethics in
data science
- Feature
selection and mining
- Financial
data analytics and FinTech
- Government
data analytics
- Health and
medical data analytics
- Heterogeneous
data analytics
- High
performance analytics
- In-memory
analytics
- Insurance
data analytics
- Large-scale
inference
- Learning
analytics
- Large-scale
learning
- Mobile
analytics
- Model
optimization
- Multimedia
analytics
Network
analytics
- Non-IID
learning
- Predictive
analytics
- Prescriptive
analytics
- Scientific
data analytics
- Service
analytics
- Smart cities,
home and IoT
Statistics
for data science
- Social
analytics
- Social
security data analytics
- Smart city and analytics
- Spatial-temporal
data analytics
- Telco data
analytics
- Textual data
analytics
- Time-series
analysis
- Transport
data analytics
- Web analytics
Visual
analytics