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Artificial Intelligence: Methodology, Systems, and Applications -

Artificial Intelligence: Methodology, Systems, and Applications

16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014, Proceedings
Buch | Softcover
XIX, 302 Seiten
2014
Springer International Publishing (Verlag)
978-3-319-10553-6 (ISBN)
CHF 74,85 inkl. MwSt
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.

Erscheint lt. Verlag 23.9.2014
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XIX, 302 p. 80 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 498 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Constrained optimization • desciption logic • description logic • features selection • Image Segmentation • Knowledge Representation and Reasoning • learning in probalibistic graphical models • Natural Language Processing • Neural networks • particle swam optimization • Recommender Systems • semantic network • supervised learning
ISBN-10 3-319-10553-1 / 3319105531
ISBN-13 978-3-319-10553-6 / 9783319105536
Zustand Neuware
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