Artificial Intelligence: Methodology, Systems, and Applications 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014, Proceedings /

This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Agre, Gennady (Editor ), Hitzler, Pascal (Editor ), Krisnadhi, Adila A. (Editor ), Kuznetsov, Sergei O. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Lecture Notes in Artificial Intelligence, 8722
Temas:
Artificial intelligence.
Data mining.
Information storage and retrieval systems.
Application software.
User interfaces (Computer systems).
Human-computer interaction.
Computer simulation.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
User Interfaces and Human Computer Interaction.
Computer Modelling.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Learning Probabilistic Semantic Network of Object-oriented Action and Activity
  • Semantic-aware Expert Partitioning
  • User-Level Opinion Propagation Analysis in Discussion Forum Threads
  • Social News Feed Recommender
  • Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach
  • Semi-Supervised Image Segmentation
  • Analysis of Rumor Spreading in Communities Based on Modified SIR Model in Microblog
  • Modeling a System for Decision Support in Snow Avalanche Warning
  • Using Balanced Random Forest and Weighted Random Forest
  • Applying Language Technologies on Healthcare Patient Records for Better Treatment of Bulgarian Diabetic Patients
  • Incrementally Building Partially Path Consistent Qualitative Constraint Networks
  • A Qualitative Spatio-Temporal Framework Based on Point Algebra
  • Training Datasets Collection and Evaluation of Feature Selection Methods for Web Content Filtering
  • Feature Selection by Distributions Contrasting
  • Educational Data Mining for Analysis of Students' Solutions.

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