📖 The Scoop
This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016.
The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
Genre: Computers / Artificial Intelligence / General (fancy, right?)
🤖Next read AI recommendation
Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "Scalable Uncertainty Management" by Pierre Senellart! 📚✨
Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊
Reading Playlist for Scalable Uncertainty Management
Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚
🎶 A Note About Our Spotify Integration
Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.
Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!
🎲AI Book Insights
Curious about "Scalable Uncertainty Management" by Pierre Senellart? Let our AI librarian give you personalized insights! 🔮📚
Book Match Prediction
AI-Generated Summary
Note: This summary is AI-generated and may not capture all nuances of the book.
