Topic Areas
DMBD 2017 will feature plenary lectures given by worldwide renowned speakers, regular sessions with broad coverage, and some special sessions focused on some popular topics. Major topics to be addressed at the conference include, but are not limited to the following areas:
Topics of interest include, but are not limited to:
| Theories |
Algorithms |
Big Data |
Applications |
- Data mining systems
- Mining media data
- Recommendation
- Case-based reasoning
- Similarity-based reasoning
- Clustering
- Classification
- Prediction
- Association rules
- Experimentation strategy
- Capability indices
- Deviation and novelty detection
- Control charts
- Conception learning
- Inductive learning
- Sampling methods
- Similarity measures
- Statistical learning
- Bayesian learning
|
- Visualization
- Feature grouping, discretization,selection, transform
- Featurelearning
- Frequent pattern mining
- Adaptive control
- Learning for handwriting recog.
- Learning in image
- Financial data
- Mining motion from sequence
- Subspace methods
- Support vector machines
- Sequential pattern mining
- Desirabilities
- Graph mining
- Agent data mining
|
- Foundational models for big data
- algorithms
- Data processing
- Big data analytics Big data metrics
- Multimedia data
- Cloud computing techniques
- Big data for service
- Mobile/pervasive computing
- Big data quality
- Provenance control
- Privacy preserving
- Big data encryption
- Anomaly detection
- Collaborative Threat detection
- algorithms
- Machine learning based on big data
- Visualization
- Big data analytics
- Big data in business performance
|
- Immune systems
- Marketing
- Medicine
- Biotechnology
- Quality manage.
- Multimedia data
- Intrusion detection
- Agriculture
- Meteorology
- Finance
- Legal informatics Social media
- Deep neural nets
- Proba. reasoning
- Reinforcement
- Supervised learning
- Fuzzy logic
- Game theory
- Applications in data mining and big data
- Challenges in data mining and big data
|
