Knowledge-Driven Analytics Impacting Human Quality Of Life
| Publicatietype: | Proceedings |
| Citatie: | |
| Boektitel: | The 27th ACM International Conference on Information and Knowledge Management (CIKM) |
| Jaar: | 2018 |
| Maand: | November |
| Uitgever: | ACM |
| Samenvatting: | The theme of this workshop is knowledge-driven analytics and systems that will attempt to ensure positive influence to society and quality of life. The likely areas are: managing and analysis of knowledge for human mental and physical health condition improvement, maximizing the benefits of social network interactions while minimizing the ill-effects, assisting human decision making in financial domain, controlled social network foot-printing, behavioral understanding and subsequent necessary action recommendation, ensuring personal data privacy preservation, as well as attempting to address few pertinent questions: How will I be alerted before a devastating financial decision? How can a doctor be given augmented knowledge on diagnosis? All of us are different. Why we are not given personalized treatment instead of average case treatment plan? How can we use big data and knowledge mining for developing sustainable societies by optimizing energy, waste and perishable resource management? How to prevent privacy breach? And many others. |
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| Toegevoegd door: | [] |
| Totaalscore: | 0 |
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