Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing
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Approach to Sentiment Analysis and Business Communication on Social Media

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_9 ◽

2020 ◽

pp. 169-193

Author(s):

Israel Edem Agbehadji ◽

Abosede Ijabadeniyi

Keyword(s):

Social Media ◽

Sentiment Analysis ◽

Business Communication

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The Paradigm of Fog Computing with Bio-inspired Search Methods and the “5Vs” of Big Data

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_8 ◽

2020 ◽

pp. 145-167

Author(s):

Richard Millham ◽

Israel Edem Agbehadji ◽

Samuel Ofori Frimpong

Keyword(s):

Big Data ◽

Fog Computing ◽

Search Methods

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Lightweight Classifier-Based Outlier Detection Algorithms from Multivariate Data Stream

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_6 ◽

2020 ◽

pp. 97-125

Author(s):

Simon Fong ◽

Tengyue Li ◽

Dong Han ◽

Sabah Mohammed

Keyword(s):

Outlier Detection ◽

Data Stream ◽

Multivariate Data ◽

Detection Algorithms

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Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_5 ◽

2020 ◽

pp. 81-95

Author(s):

Richard Millham ◽

Israel Edem Agbehadji ◽

Hongji Yang

Keyword(s):

Association Rules

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Pattern Mining Algorithms

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_4 ◽

2020 ◽

pp. 67-80

Author(s):

Richard Millham ◽

Israel Edem Agbehadji ◽

Hongji Yang

Keyword(s):

Pattern Mining ◽

Mining Algorithms

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The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_1 ◽

2020 ◽

pp. 1-19

Author(s):

Richard Millham ◽

Israel Edem Agbehadji ◽

Hongji Yang

Keyword(s):

Big Data ◽

Data Imputation

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Comparison of Contemporary Meta-Heuristic Algorithms for Solving Economic Load Dispatch Problem

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_7 ◽

2020 ◽

pp. 127-144

Author(s):

Simon Fong ◽

Tengyue Li ◽

Zhiyan Qu

Keyword(s):

Heuristic Algorithms ◽

Economic Load Dispatch

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Big Data Tools for Tasks

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_12 ◽

2020 ◽

pp. 219-226

Author(s):

Richard Millham

Keyword(s):

Big Data

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Data Visualization Techniques and Algorithms

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_10 ◽

2020 ◽

pp. 195-205

Author(s):

Israel Edem Agbehadji ◽

Hongji Yang

Keyword(s):

Data Visualization ◽

Visualization Techniques

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Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-6695-0_3 ◽

2020 ◽

pp. 43-65

Author(s):

Simon Fong ◽

Tengyue Li ◽

Sabah Mohammed

Keyword(s):

Feature Selection ◽

Data Stream ◽

Fog Computing ◽

Search Algorithms ◽

Data Stream Mining ◽

Computing Environment ◽

Stream Mining

Download Full-text

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Approach to Sentiment Analysis and Business Communication on Social Media

The Paradigm of Fog Computing with Bio-inspired Search Methods and the “5Vs” of Big Data

Lightweight Classifier-Based Outlier Detection Algorithms from Multivariate Data Stream

Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach

Pattern Mining Algorithms

The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation

Comparison of Contemporary Meta-Heuristic Algorithms for Solving Economic Load Dispatch Problem

Big Data Tools for Tasks

Data Visualization Techniques and Algorithms

Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing - Springer Tracts in Nature-Inspired Computing
Latest Publications