This workshop is intended to demonstrate the capability of knowledge-driven analytics for building human-centric applications using big data and AI. Knowledge-driven human beings, knowledge-driven societies and knowledge-driven technologies should co-cooperatively co-exist to create a better knowledge-driven world. Our focus is to minimize the risks, conflicts and hazards of adapting to intelligent systems.

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
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
• Identifying wrong or ineffective economic decisions based on spent and requirement analysis
• 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 to restrict greedy outcomes
• Algorithmic fair trading
• Deeper personalization by understanding the retail behavior, prognosis trend, sentiment analysis, drug abuse and other related personal studies
• Patient-specific tailored medication and treatment plan
• 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
• Long term prediction on knowledge driven human life and society
• Crowd sourcing for knowledge aggregation and exploiting wisdom of the crowd

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

Full papers - 6 pages
Short papers - 3 pages
Manuscripts should be submitted electronically, as PDF formatted using the ACM camera-ready templates (http://www.acm.org/publications/proceedings-template). Please use sample-sigconf.tex as the template.

Please submit your paper at

https://easychair.org/conferences/?conf=kdahcikm2019