(Topics include but are not limited to)
Topic 1: Data Mining
Network Mining
prediction model
Data segmentation
Link analysis
Deviation detection
Sequence statistics
regression analysis
Category data
neural network
Rule induction
Decision Tree Theory
Graph and subgraph mining
Data Mining Visualization
Security and privacy issues
Mining data streams
Scalable data preprocessing
High performance data mining algorithm
Topic 2: Statistical Applications
The theory of hypothetical marriage rate
Bayesian statistics
mathematical statistics
Application statistics
space statistics
Medical Statistics
Engineering Statistics
statistical software
Statistical prediction and decision-making
data acquisition
data mining
experimental design
Time series analysis
survival analysis
Bayesian statistics
Multivariate star statistics
Statistical learning
Non parametric statistics
Statistical simulation
Statistical software application
Topic 3: Risk Management
risk management
Risk Management Theory, Methods, and Applications
Risk identification, analysis, and response
risk aversion
Risk Retention
risk sharing
Risk transfer
Prevent and reduce risk losses
Risk and Emergency Management System
Risk assessment and prediction
Risk assessment and failure analysis
Risk propagation pathway
Crisis response and emergency management
Systems Engineering and Risk Management
Reliability Engineering and Risk Management
Social risk management
financial risk management