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Advances in Knowledge Discovery and Data Mining
The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:
Part I: Applications of knowledge discovery and data mining of specialized data;
Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;
Part III: Representation learning and embedding, and learning from data.- Artificiell intelligens (inom Datavetenskap)
- Samhälle & Politik
- Utbildningsresurser & tekniska hjälpmedel, datorstött lärande (CAL, computer-aided learning) (inom Pedagogik)
- Affärstillämpningar (inom Datorer & IT)
- Matematisk databehandlingsteori (inom Datavetenskap)
- Databehandling: allmänt (inom Datorer & IT)
- Algoritmer & datastrukturer (inom Programmering)
- Datorseende (inom Artificiell intelligens)
- Matematik för datavetare (inom Matematisk databehandlingsteori)