KDAH-CIKM 2018 is organized in conjunction with CIKM 2018 conferences as a workshop.

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 but removing the authors details during submission.

Please submit your paper at

https://easychair.org/conferences/?conf=kdahcikm2018

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, online surfing habits 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, where mundane, repetitive, stressful jobs would be by robots or other 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