Nature Inspired Computing for Data Science - Studies in Computational Intelligence
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Published By Springer International Publishing

9783030338190, 9783030338206

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Correction to: Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_12 ◽

2020 ◽

pp. C1-C1

Author(s):

Minakhi Rout ◽

Jitendra Kumar Rout ◽

Himansu Das

Keyword(s):

Data Science ◽

Nature Inspired Computing

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Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_7 ◽

2019 ◽

pp. 169-200

Author(s):

A. Tapia ◽

D. G. Reina ◽

A. R. del Nozal ◽

P. Millán

Keyword(s):

Genetic Algorithms ◽

Power Plants ◽

Hydro Power ◽

Hydro Power Plants

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Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_5 ◽

2019 ◽

pp. 109-138 ◽

Cited By ~ 3

Author(s):

Hiram Ponce ◽

Guillermo González-Mora ◽

Elizabeth Morales-Olvera ◽

Paulo Souza

Keyword(s):

Supervised Learning ◽

High Dimensional Data ◽

High Dimensional ◽

Nature Inspired Computing

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An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_11 ◽

2019 ◽

pp. 279-295 ◽

Cited By ~ 1

Author(s):

Minakhi Rout ◽

Koffi Mawuna Koudjonou

Keyword(s):

Exchange Rate ◽

Evolutionary Algorithm ◽

Foreign Exchange ◽

Foreign Exchange Rate ◽

Rate Prediction ◽

Exchange Rate Prediction

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Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_2 ◽

2019 ◽

pp. 29-56

Author(s):

Wenheng Liu ◽

Mahjoub Dridi ◽

Hongying Fei ◽

Amir Hajjam El Hassani

Keyword(s):

Health Care ◽

Home Health Care ◽

Home Health ◽

Planning Problem ◽

Care Planning ◽

Health Care Planning

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Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_4 ◽

2019 ◽

pp. 83-107 ◽

Cited By ~ 1

Author(s):

Biswa Ranjan Senapati ◽

Pabitra Mohan Khilar

Keyword(s):

Swarm Intelligence ◽

Ad Hoc Network ◽

Ad Hoc ◽

Vehicular Ad Hoc Network ◽

Performance Parameter

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Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_10 ◽

2019 ◽

pp. 241-277 ◽

Cited By ~ 1

Author(s):

Lokeswari Venkataramana ◽

Shomona Gracia Jacob ◽

Saraswathi Shanmuganathan ◽

Venkata Vara Prasad Dattuluri

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Computational Study ◽

Expression Data

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An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_1 ◽

2019 ◽

pp. 1-28 ◽

Cited By ~ 1

Author(s):

Shamim Ripon ◽

Md. Golam Sarowar ◽

Fahima Qasim ◽

Shamse Tasnim Cynthia

Keyword(s):

Neural Network ◽

Tuberous Sclerosis

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Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_9 ◽

2019 ◽

pp. 213-239 ◽

Cited By ~ 1

Author(s):

Rohit Gavval ◽

Vadlamani Ravi

Keyword(s):

Social Media ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Customer Complaints ◽

Multi Objective

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Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_8 ◽

2019 ◽

pp. 201-212 ◽

Cited By ~ 8

Author(s):

Abhaya Kumar Sahoo ◽

Chittaranjan Pradhan ◽

Himansu Das

Keyword(s):

Neural Network ◽

Machine Learning ◽

Decision Making ◽

Performance Evaluation ◽

Deep Learning ◽

Convolutional Neural Network ◽

Learning Methods ◽

Health Decision Making ◽

Machine Learning Methods ◽

Health Decision

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Nature Inspired Computing for Data Science - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Nature Inspired Computing for Data Science

Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras

Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction

Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization

Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Nature Inspired Computing for Data Science - Studies in Computational Intelligence
Latest Publications