Multi-disciplinary Trends in Artificial Intelligence
8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings
Published on 17. November 2014
XII, 246 pages
978-3-319-13365-2 (ISBN)
Description
This book constitutes the refereed conference proceedings of the 8th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2014, held in Bangalore, India, in December 2014.
The 22 revised full papers were carefully reviewed and selected from 44 submissions. The papers feature a wide range of topics covering both theory, methods and tools as well as their diverse applications in numerous domains.
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M. Narasimha Murty | Xiangjian He | Raghavendra Rao Chillarige
Multi-disciplinary Trends in Artificial Intelligence
8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings
Book
11/2014
Springer
€51.36
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Content
"Potential Interval of Root" of Nonlinear Equation: Labeling Algorithm.- Stochastic Leaky Integrator Model for Interval Timing.- Multi-objective Exploration for Compiler Optimizations and Parameters.- Association Rule Mining via Evolutionary Multi-objective Optimization.- Distance-Based Heuristic in Selecting a DC Charging Station for Electric Vehicles.- Automated Reasoning in Deontic Logic.- Image Processing Tool for FAE Cloud Dynamics.- N-gram Based Approach for Opinion Mining of Punjabi Text.- Application of Game-Theoretic Rough Sets in Recommender Systems.- RGB - Based Color Texture Image Classification Using Anisotropic Diffusion and LDBP.- A Knowledge-Based Design for Structural Analysis of Printed Mathematical Expressions.- A New Preprocessor to Fuzzy c-Means Algorithm.- Domain Specific Sentiment Dictionary for Opinion Mining of Vietnamese Text.- Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems.- Clustering Web Services on Frequent Output Parameters for I/O Based Service Search.- IntelliNavi : Navigation for Blind Based on Kinect and Machine Learning.- A Trust Metric for Online Virtual Teams and Work Groups.- Web Service Composition Using Service Maps.- Integrated Representation of Spatial Topological and Size Relations for the Semantic Web.- Using Bayesian Networks to Model and Analyze Software Product Line Feature Model.- A Content-Based Approach for User Profile Modeling and Matching on Social Networks.
