Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Bio-Inspired Algorithms For Data Streaming And Visualization, Big Data Management, And Fog ComputingISBN13:9789811566974ISBN10:9811566976Author:Fong, Simon James (Editor), Millham, Richard C. (Editor)Description: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 Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2021-09-09Weight:0 lbsDimensions:Number of Pages:226Language:English
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Item Length: 9.3in
Item Width: 6.1in
Author: Richard C. Millham
Publication Name: Bio-Inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Format: Trade Paperback
Language: English
Publisher: Springer
Series: Springer Tracts in Nature-Inspired Computing Ser.
Publication Year: 2021
Type: Textbook
Item Weight: 12.9 Oz
Number of Pages: IX, 226 Pages
