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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing [[electronic resource] /] / edited by Simon James Fong, Richard C. Millham
| Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing [[electronic resource] /] / edited by Simon James Fong, Richard C. Millham |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (228 pages) |
| Disciplina | 571.0284 |
| Collana | Springer Tracts in Nature-Inspired Computing |
| Soggetto topico |
Computational intelligence
Algorithms Big data Database management Application software Computational Intelligence Algorithm Analysis and Problem Complexity Big Data Database Management Information Systems Applications (incl. Internet) |
| ISBN | 981-15-6695-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation -- Chapter 2. Parameter Tuning onto Recurrent Neural Network and Long Short Term Memory (RNN-LSTM) Network for Feature Selection in Classification of High-dimensional Bioinformatics Datasets -- Chapter 3. Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms -- Chapter 4. Pattern Mining Algorithms -- Chapter 5. Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach -- Chapter 6. Lightweight Classifier-based Outlier Detection Algorithms from Multivariate Data Stream -- Chapter 7. Comparison of Contemporary Meta-heuristic Algorithms for Solving Economic Load Dispatch Problem -- Chapter 8. The paradigm on fog computing with bio-inspired search methods and the ‘5Vs’ of big data -- Chapter 9. Approach for sentiment analysis on social media sites -- Chapter 10. Data Visualisation techniques and Algorithms -- Chapter 11. Business Intelligence -- Chapter 12. Big Data Tools for Tasks. |
| Record Nr. | UNINA-9910767531703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing / / edited by Simon James Fong, Richard C. Millham
| Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing / / edited by Simon James Fong, Richard C. Millham |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Singapore, 2021 |
| Descrizione fisica | 1 online resource (228 pages) |
| Disciplina | 571.0284 |
| Collana | Springer Tracts in Nature-Inspired Computing |
| Soggetto topico |
Computational intelligence
Algorithms Big data Database management Application software Computational Intelligence Algorithm Analysis and Problem Complexity Big Data Database Management Information Systems Applications (incl. Internet) |
| ISBN | 981-15-6695-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation -- Chapter 2. Parameter Tuning onto Recurrent Neural Network and Long Short Term Memory (RNN-LSTM) Network for Feature Selection in Classification of High-dimensional Bioinformatics Datasets -- Chapter 3. Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms -- Chapter 4. Pattern Mining Algorithms -- Chapter 5. Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach -- Chapter 6. Lightweight Classifier-based Outlier Detection Algorithms from Multivariate Data Stream -- Chapter 7. Comparison of Contemporary Meta-heuristic Algorithms for Solving Economic Load Dispatch Problem -- Chapter 8. The paradigm on fog computing with bio-inspired search methods and the ‘5Vs’ of big data -- Chapter 9. Approach for sentiment analysis on social media sites -- Chapter 10. Data Visualisation techniques and Algorithms -- Chapter 11. Business Intelligence -- Chapter 12. Big Data Tools for Tasks. |
| Record Nr. | UNINA-9910863112203321 |
| Springer Singapore, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||