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Nature Inspired Computing for Data Science

  • Book
  • © 2020

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Editors:
  1. Minakhi Rout

    1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India

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  2. Jitendra Kumar Rout

    1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India

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  3. Himansu Das

    1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India

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  • Focuses on the advances in nature-inspired computing and its value in data science
  • Presents contributions from various fields of computational intelligence, machine learning, deep learning, and nature-inspired computing to build intelligent systems for real-time data analytics
  • Includes fundamentals, applications, algorithms and case studies of the advances and research in the fields of nature-inspired computing, data science and engineering

Part of the book series: Studies in Computational Intelligence (SCI, volume 871)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

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

    • Shamim Ripon, Md. Golam Sarowar, Fahima Qasim, Shamse Tasnim Cynthia
    Pages 1-28

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

    • Wenheng Liu, Mahjoub Dridi, Hongying Fei, Amir Hajjam El Hassani
    Pages 29-56

  4. Performance Analysis of NASNet on Unconstrained Ear Recognition

    • K. Radhika, K. Devika, T. Aswathi, P. Sreevidya, V. Sowmya, K. P. Soman
    Pages 57-82

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

    • Biswa Ranjan Senapati, Pabitra Mohan Khilar
    Pages 83-107

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

    • Hiram Ponce, Guillermo González-Mora, Elizabeth Morales-Olvera, Paulo Souza
    Pages 109-138

  7. Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in Microgrids

    • A. Rodríguez del Nozal, A. Tapia, L. Alvarado-Barrios, D. G. Reina
    Pages 139-167

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

    • A. Tapia, D. G. Reina, A. R. del Nozal, P. Millán
    Pages 169-200

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

    • Abhaya Kumar Sahoo, Chittaranjan Pradhan, Himansu Das
    Pages 201-212

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

    • Rohit Gavval, Vadlamani Ravi
    Pages 213-239

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

    • Lokeswari Venkataramana, Shomona Gracia Jacob, Saraswathi Shanmuganathan, Venkata Vara Prasad Dattuluri
    Pages 241-277

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

    • Minakhi Rout, Koffi Mawuna Koudjonou
    Pages 279-295

  13. Correction to: Nature Inspired Computing for Data Science

    • Minakhi Rout, Jitendra Kumar Rout, Himansu Das
    Pages C1-C1
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Keywords

About this book

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Editors and Affiliations

  • School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India

    Minakhi Rout, Jitendra Kumar Rout

  • School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India

    Himansu Das

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