Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy / / edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (228 pages) |
Disciplina | 006.3 |
Collana | Green Energy and Technology |
Soggetto topico |
Energy systems
Computational intelligence Algorithms Energy policy Energy and state Energy Systems Computational Intelligence Energy Policy, Economics and Management |
ISBN | 3-319-69889-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Basic descriptions of computational intelligence algorithms (single, hybrid, ensemble, integrated and etc -- Credible sources of energy datasets -- Applications of computational algorithms in energy -- Practical application of cuckoo search and neural network in the prediction of OECD oil consumption -- Hybrid of Fuzzy systems and particle swarm optimization in the forecasting gas flaring from oil consumption -- Forecasting of OECD gas flaring using Elman neural network and cuckoo search algorithm -- Artificial bee colony and neural network for the forecasting of Malaysia renewable energy -- Soft computing methods in the modelling of OECD carbon dioxide emission from petroleum consumption -- Modelling energy crises based on Soft computing -- The forecasting of WTI and Dubai crude oil prices benchmarks based on soft computing -- A new approach for the forecasting of IAEA energy -- Modelling of gasoline prices using fuzzy multi-criteria decision making -- Soft computing for the prediction of Australia petroleum consumption based on OECD countries -- Future research problems in the area of computational intelligence algorithms in energy. . |
Record Nr. | UNINA-9910337596503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) / / Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy, editors |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2014 |
Descrizione fisica | 1 online resource (xxi, 730 pages) : illustrations (some color) |
Disciplina | 004 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Database management
Data mining Engineering |
ISBN | 981-4585-18-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Preface""; ""Acknowledgments""; ""Conference organisation""; ""Steering Committee""; ""Chair""; ""Publication Chair""; ""Program Committee Chair""; ""Organizing Chair""; ""Student Committee""; ""Program Committee""; ""Workshop on Recent Advances in Information Systems""; ""Workshop on Mining Educational Data for Effective Educational Resources""; ""Contents""; ""Part I: Database Theory""; ""A Log File Analysis Technique using Binary-BasedApproach""; ""1 Introduction""; ""2 Literature Review""; ""3 Proposed Binary-Based Log File Analysis Technique""; ""4 Experimental Results""
""5 Conclusion""""References""; ""An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets""; ""1 Introduction""; ""2 Literature Reviews""; ""3 Methodology""; ""3.1 Cardiac Surgery Data""; ""3.2 Undersampling and Oversampling""; ""3.3 Bagging and Boosting""; ""3.4 Model Performance Measures""; ""4 Results""; ""5 Conclusion""; ""References""; ""Excel-Database Converting System using DataNormalization Technique""; ""1 Introduction""; ""2 Related Work""; ""3 Methodology""; ""4 Results and Discussions""; ""4.1 Data Gathering - Interview"" ""4.2 System Flow""""4.3 Normalization Algorithms""; ""4.4 User Interface""; ""4.5 Testing""; ""5 Conclusion""; ""References""; ""Model for Automatic Textual Data Clustering inRelational Databases Schema""; ""1 Introduction""; ""2 Related studies""; ""3 Incremental and Dynamic Repository and Semantic Query""; ""3.1 Incremental and Dynamic Repository""; ""3.2 Semantic Operator in SQL""; ""4 Conclusion""; ""References""; ""Sampling Semantic Data Stream: ResolvingOverload and Limited Storage Issues""; ""1 Introduction""; ""2 Extension to Existing Systems""; ""3 Sampling Methods"" ""3.1 Uniform Random Sampling""""3.2 Reservoir Sampling""; ""3.3 Chain Sampling""; ""4 Experimentation""; ""5 Conclusion""; ""References""; ""Shared-Table for Textual Data Clustering in DistributedRelational Databases""; ""1 Introduction""; ""2 Related Studies""; ""3 Distributed Database Architecture""; ""4 Shared-Table""; ""5 Conclusion""; ""References""; ""Part IIData Warehousing and Mining""; ""A Graph-based Reliable User Classification""; ""1 Introduction""; ""2 User Classification""; ""3 A graph-based reliable user extraction method""; ""3.1 Extracting socially well-known users"" ""3.2 Extracting reliable and highly active users""""5 Conclusion""; ""4 Experiments and Evaluation""; ""References""; ""A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training""; ""1 Introduction""; ""2 Related Works""; ""2.1. An Overview of Functional Link Neural Network""; ""2.2. FLNN learning Scheme""; ""2.3. Artificial Bee Colony Optimization""; ""3 Proposed Learning Scheme""; ""4 Experimentation""; ""5 Result and Discussion""; ""6 Conclusion""; ""Acknowledgement""; ""References""; ""A Review on Bloom Filter Based Approaches for RFIDData Cleaning"" ""1 Introduction"" |
Record Nr. | UNINA-9910299712403321 |
Singapore : , : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) / / edited by Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (624 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Computational intelligence
Data mining Database management Computational Intelligence Data Mining and Knowledge Discovery Database Management |
ISBN | 981-13-1799-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Database Theory and Applications -- Chapter 1. A New Approach to Secure and Manage Load Balancing of the Distributed Database using SQL Firewall -- Chapter 2. Object-Based Simulators for Large Scale Distributed Virtual Environment -- Chapter 3. 1P1O: A Large Scale Distributed Virtual Environment -- Chapter 4.Optimize Performance Load Balancing Techniques using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review -- Chapter 5.Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model -- Chapter 6.DGMS: Dataset Generator Based On Malay Stemmer Algorithm -- Chapter 7.A Survey of UML Tools -- Chapter 8.Hybrid Landscape Change Detection Methods in a Noisy Data Environment -- Part 2: Data Warehousing and Mining -- 9.Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining -- 10. 2M-SELAR: A Model for Mining Sequential Least Association Rules. |
Record Nr. | UNINA-9910483802303321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Recent Advances on Soft Computing and Data Mining : The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings / / edited by Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XXI, 649 p. 201 illus., 113 illus. in color.) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-51281-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cluster Validation Analysis on Attribute Relative of Soft Set Theory -- Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm -- Optimization of ANFIS using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs -- Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series -- A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site -- Formation Control Optimization for Odor Localization -- A New Search Direction for Broyden’s Family Method in Solving Unconstrained Optimization Problems -- Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task -- Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model -- A study of data imputation using Fuzzy C-Means with Particle Swarm Optimization. . |
Record Nr. | UNINA-9910157638103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Recent Advances on Soft Computing and Data Mining : Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaJune 16th-18th, 2014 / / edited by Tutut Herawan, Rozaida Ghazali, Mustafa Mat Deris |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (697 p.) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-319-07692-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Soft Computing Track -- Data Mining Track -- Workshop on Nature Inspired Computing and Its Applications -- Workshop on Machine Learning for Big Data Computing. |
Record Nr. | UNINA-9910299757403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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