Call for paper (CFP) would include areas of interest, not limited to:
Clinical Analytics
Privacy Preserving Data Mining
Recommender systems for retail, financial decision making
Fraud detection and prevention system
Human cognition analysis
Knowledge-driven human action understanding and decision making
Deep learning and artificial intelligence-based applications
Social network analysis
LLMs as disruptive AI technology
We solicit research outcomes in the application areas of interest, not limited to:
Macro-action analytics to identify cognitive dissonance
Computational method of automated disease detection
Social network usage analytics to identify suicidal tendency and psychiatric abnormality
Finding efficacy of prescription drugs in the presence of concept drift
Recommendation of personalized retail and financial decisions and planning
Big data management by proactive control of data misuse and incorporating proactive data privacy
Value alignment to highly automated intelligence systems
Algorithmic fair trading
Deeper personalization by understanding the retail behaviour, prognosis trend, sentiment analysis, drug abuse and other related personal studies
Virtual assistant for elderly and infant care
Knowledge-driven energy, waste, perishable resource management
Artificial intelligence for changing the responsibilities of human workers by humanoids
Game theoretic investigation for conflict resolution of actions in knowledge-driven intelligent system
Neuro-symbolic AI
Long term prediction on knowledge driven human life and society
Crowd sourcing for knowledge aggregation and exploiting wisdom of the crowd
Submit your paper- https://easychair.org/conferences/?conf=kdahcikm2023