| Description |
1 online resource |
| Series |
Advances in Intelligent Systems and Computing ; volume 415 |
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Advances in intelligent systems and computing ; 415.
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| Contents |
Preface; Organization; Contents; 1 Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods; Abstract; 1 Introduction; 2 Related Work; 2.1 Machine Learning (ML) Approach; 2.2 Lexicon Based Approach; 2.3 Hybrid Approach; 2.4 Ensemble Methods; 3 Proposed Work; 3.1 Tweet Pre-processing; 3.2 Feature Selection; 3.3 Point Wise Mutual Information (PMI); 3.4 Chi-square Method; 3.5 Multi-class Sentiment Classification; 3.5.1 Naive Bayes Classifier; 3.5.2 Maximum Entropy Classifier; 3.5.3 Support Vector Machine |
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3.5.4 Ensemble Learners3.5.5 Bagging; 3.5.6 Boosting; 4 Experiments; 4.1 Baseline and Ensemble Methods; 4.2 Dataset; 5 Results and Analysis; 6 Conclusion; References; 2 Multiple Fuzzy Correlated Pattern Tree Mining with Minimum Item All-Confidence Thresholds; Abstract; 1 Introduction; 1.1 Fuzzy FP-Tree Algorithm; 1.2 Multiple Fuzzy FP-Tree Algorithm; 2 The Multiple Fuzzy Correlated Pattern Tree Construction Algorithm; 2.1 An Example; 3 Proposed Multiple Fuzzy Correlated Pattern Growth Mining Algorithm; 3.1 An Example; 4 Experimental Results; 5 Conclusions and Future Work; Acknowledgments |
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3 Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial VehiclesAbstract; 1 Introduction; 2 Extended Kalman Filter Estimator; 3 Autonomous Visual Tracking System; 4 Simulation and Experimental Results; 5 Conclusions; References; 4 Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings Using Fuzzy Neural Network Modelling; Abstract; 1 Introduction; 2 Fuzzy Set Theory and Preliminaries; 3 Learning Algorithm for Single Layer Fuzzy Neural Network; 4 System Identification of Structural Parameter in Fuzzified Form |
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5 Results and Discussion6 Concluding Remarks; References; 5 Fuzzy Approach to Rank Global Climate Models; Abstract; 1 Introduction; 2 Performance Indicators; 3 F-TOPSIS; 4 Results and Discussion; 5 Summary and Conclusions; Acknowledgments; Appendix; Sample Calculation for Computation Of Di+, Di2212, Ci; References; 6 Comparative Analysis of ANFIS and SVR Model Performance for Rainfall Prediction; Abstract; 1 Introduction; 2 Related Works; 3 Methodology; 3.1 Adaptive Neural Fuzzy Inference System (ANFIS); 3.2 Support Vector Regression; 4 Area of Study and Data Set |
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5 Evaluation Criteria of the Performance of the Models6 Results and Discussion; 7 Conclusions; References; Cross Domain Sentiment Analysis Using Different Machine Learning Techniques; 1 Introduction; 2 Literature Review; 3 Methodology; 3.1 Performance Analysis; 4 Proposed Framework; 4.1 Preprocessing; 4.2 Model Generation; 4.3 Matrix Generation; 5 Results and Analysis; 6 Conclusion; References; Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering; 1 Introduction; 2 Extreme Learning Machine; 3 Random Projection |
| Summary |
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 |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed March 10, 2016) |
| Subject |
Fuzzy expert systems -- Congresses
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Neural computers -- Congresses
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Artificial intelligence.
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Mathematical modelling.
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COMPUTERS -- Computer Literacy.
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COMPUTERS -- Computer Science.
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COMPUTERS -- Data Processing.
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COMPUTERS -- Hardware -- General.
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COMPUTERS -- Information Technology.
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COMPUTERS -- Machine Theory.
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COMPUTERS -- Reference.
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Fuzzy expert systems
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Neural computers
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Ravi, Vadlamani, editor
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Panigrahi, Bijaya Ketan, editor.
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Das, Swagatam, editor.
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Suganthan, Ponnuthurai Nagaratnam, editor.
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| ISBN |
9783319272122 |
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3319272128 |
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