This proceedings bring together contributions from researchers
from academia and industry to report the latest cutting edge research made in
the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing
in the paradigm of Soft Computing. The FANCCO 2015 conference explored new
application areas, design novel hybrid algorithms for solving different real
world application problems. After a rigorous review of the 68 submissions from
all over the world, the referees panel selected 27 papers to be presented at the
Conference. The accepted
papers have a good, balanced mix of theory and applications. The techniques
ranged from fuzzy neural networks, decision trees, spiking neural networks,
self organizing feature map, support vector regression, adaptive neuro fuzzy
inference system, extreme learning machine, fuzzy multi criteria decision
making, machine learning, web usage mining, Takagi-Sugeno Inference system,
extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering
etc. The applications ranged from social network analysis, twitter sentiment
analysis, cross domain sentiment analysis, information security, education
sector, e-learning, information management, climate studies, rainfall
prediction, brain studies, bioinformatics, structural engineering, sewage water
quality, movement of aerial vehicles, etc.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
43 s/w Abbildungen, 102 farbige Abbildungen
XIII, 366 p. 145 illus., 102 illus. in color.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
ISBN-13
978-3-319-27211-5 (9783319272115)
DOI
10.1007/978-3-319-27212-2
Schweitzer Classification
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.- FuzzyApproach 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.- ShortCircuit
Evaluations in Gödel 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.
