Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Bio-Inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Bio-Inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Millham, Richard C.
Fong, Simon James

Hardcover

Series: Springer Tracts in Nature-Inspired Computing

Technology & EngineeringDatabasesProgramming

ISBN10: 9811566941
ISBN13: 9789811566943
Publisher: Springer Nature
Published: Aug 26 2020
Pages: 226
Weight: 1.13
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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.

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