Multi-disciplinary Trends in Artificial Intelligence  8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014, Proceedings /  [electronic resource] : 
edited by M. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng. 
 - 1st ed. 2014. 
 - XII, 246 p. 86 illus.  online resource. 
 - Lecture Notes in Artificial Intelligence,  8875  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  8875 .
<br/><br/>"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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319133652 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-13365-2  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Data mining.<br/>Computer vision.<br/>Algorithms.<br/>Application software.<br/>Artificial Intelligence.<br/>Data Mining and Knowledge Discovery.<br/>Computer Vision.<br/>Algorithms.<br/>Computer and Information Systems Applications.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3