Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (Fancco - 2015)
Overview
Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods.- Multiple Fuzzy Correlated Pattern Tree Mining using Minimum Item All-Confidence Thresholds.- Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles.- Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings using Fuzzy Neural Network Modelling.- Fuzzy Approach to Rank Global Climate Models.- Comparative analysis of ANFIS and SVR Model performance for Rainfall Prediction.- Cross Domain Sentiment Analysis using different Machine Learning Techniques.- Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering.- Framework for knowledge driven optimisation based data encoding for brain data modelling using spiking neural network architecture.- Short Circuit Evaluations in G del Type Logic.- Coefficient of Variation based Decision Tree for Fuzzy Classification.- Predicting protein coding regions by six-base nucleotide distribution.- Ontology for Education System and Ontology based Clustering.- Neural Networks for Fast Estimation of Social Network Centrality Measures.- Scale-free memory to swiftly generate fuzzy future predictions.- Assessment of Vaccination Strategies using Fuzzy Multi-Criteria Decision Making.- Ranking and Dimensionality Reduction using Biclustering.- Effect of Fractional Order in Pole Motion.- Sewage Water Quality Index of Sewage Treatment Plant using Fuzzy MCDM Approach.- Fuzzy Formal Concept Analysis approach for Information Retrieval.- Privacy Preserving Collaborative Clustering using SOM for Horizontal Data Distribution.- A Hybrid Approach to Classification of Categorical Data based on Information-Theoretic Context Selection.- Robust Stabilization of Uncertain T-S fuzzy systems: An Integral Error Dependant Sliding Surface Design Approach.- Extreme learning machine for eukaryotic and prokaryotic promoter prediction.- A hybrid approach to the maximum clique problem in the domain of information management.- An Integrated Network Behavior and Policy based data exfiltration detection framework.- Web Usages Mining in automatic detection of Learning Style in Personalized e-Learning System.
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Details
- ISBN-13: 9783319272115
- ISBN-10: 331927211X
- Publisher: Springer
- Publish Date: November 2015
- Dimensions: 9.21 x 6.14 x 0.79 inches
- Shipping Weight: 1.18 pounds
- Page Count: 366
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