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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Agre, Gennady (Επιμελητής έκδοσης), Hitzler, Pascal (Επιμελητής έκδοσης), Krisnadhi, Adila A. (Επιμελητής έκδοσης), Kuznetsov, Sergei O. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Computer Science, 8722
• Θέματα: Computer science.; Data mining.; Information storage and retrieval.; User interfaces (Computer systems).; Artificial intelligence.; Computer simulation.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; User Interfaces and Human Computer Interaction.; Simulation and Modeling.

 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 from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities. 

 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.