Multi-disciplinary Trends in Artificial Intelligence

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

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

Buch | Softcover

XII, 246 Seiten

2014
Springer International Publishing (Verlag)
978-3-319-13364-5 (ISBN)

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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.

Dr. M. Narasimha Murty is a professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore.

"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.

Erscheint lt. Verlag	6.11.2014
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XII, 246 p. 86 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	403 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Algorithm analysis and problem complexity • 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	3-319-13364-0 / 3319133640
ISBN-13	978-3-319-13364-5 / 9783319133645
Zustand	Neuware