Multi-disciplinary Trends in Artificial Intelligence (eBook)

8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings

M. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng (Herausgeber)

eBook Download: PDF

2014 | 2014
XII, 246 Seiten
Springer International Publishing (Verlag)
978-3-319-13365-2 (ISBN)

Infos

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.

Inhalt

“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.

Produkt-Details

• Erscheint lt. Verlag: 17.11.2014
• Reihe/Serie: Lecture Notes in Artificial Intelligence
• Reihe/Serie: Lecture Notes in Computer Science
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Schlagworte: algorithms • Artificial Intelligence • Association Rule Mining • automated reasoning • Data Mining • document and analysis • Evolutionary Computing • Image Processing • Information Discovery • knowledge management • machine learning • Rough Sets • semantic web • sentiment analysis • Social Networks • Soft Computing • Web mining
• ISBN-10: 3-319-13365-9 / 3319133659
• ISBN-13: 978-3-319-13365-2 / 9783319133652