Nature Inspired Computing for Data Science

1. Front Matter

   Pages i-xii

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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

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.

• Nature Inspired Computing
• Optimization Techniques
• Data Science
• Data Analytics
• Big Data

• 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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