Bio-inspired algorithms for data streaming and visualization, big data management, and fog computing. ([2021])
- Record Type:
- Book
- Title:
- Bio-inspired algorithms for data streaming and visualization, big data management, and fog computing. ([2021])
- Main Title:
- Bio-inspired algorithms for data streaming and visualization, big data management, and fog computing
- Further Information:
- Note: Simon James Fong, Richard C. Millham, editors.
- Editors:
- Fong, Simon
Millham, Richard C - Contents:
- 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.
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2021
- Extent:
- 1 online resource
- Subjects:
- 006.3
Nature-inspired algorithms
Big data
Electronic books - Languages:
- English
- ISBNs:
- 9789811566950
- Related ISBNs:
- 981156695X
9811566941
9789811566943 - Notes:
- Note: Includes bibliographical references.
Note: Description based on online resource; title from digital title page (viewed on October 07, 2020). - 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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- British Library HMNTS - ELD.DS.546895
- Ingest File:
- 03_161.xml