2017 Second International Conference on Data Mining and Big Data

Theories

• 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

Algorithms

• 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

Big Data

• 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

Applications

• 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