Proceedings of the fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015). (2015)
- Record Type:
- Book
- Title:
- Proceedings of the fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015). (2015)
- Main Title:
- Proceedings of the fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)
- Other Titles:
- FANCCO 2015
- Further Information:
- Note: Vadlamani Ravi, Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, editors.
- Editors:
- Ravi, Vadlamani
Panigrahi, Bijaya Ketan
Das, Swagatam
Suganthan, Ponnuthurai Nagaratnam - Other Names:
- International Conference on Fuzzy and Neuro Computing, 5th
- 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. 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. 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 StiffnessPreface; 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. 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. 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. 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. 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. … (more)
- Publisher Details:
- Switzerland : Springer
- Publication Date:
- 2015
- Extent:
- 1 online resource
- Subjects:
- 006.3
004
Computer science
Fuzzy expert systems -- Congresses
Neural computers -- Congresses
COMPUTERS -- Computer Literacy
COMPUTERS -- Computer Science
COMPUTERS -- Data Processing
COMPUTERS -- Hardware -- General
COMPUTERS -- Information Technology
COMPUTERS -- Machine Theory
COMPUTERS -- Reference
Fuzzy expert systems
Neural computers
Computer Science
Mechanical Engineering - General
Mechanical Engineering
Engineering & Applied Sciences
Computers -- Intelligence (AI) & Semantics
Mathematics -- Applied
Artificial intelligence
Mathematical modelling
Artificial intelligence
Engineering
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319272122
3319272128 - Related ISBNs:
- 9783319272115
331927211X - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed March 10, 2016).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- British Library HMNTS - ELD.DS.362761
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