Nature Inspired Computing For Data Science

Description

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. Front Matter ....Pages i-xii 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 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 Performance Analysis of NASNet on Unconstrained Ear Recognition (K. Radhika, K. Devika, T. Aswathi, P. Sreevidya, V. Sowmya, K. P. Soman)....Pages 57-82 Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence (Biswa Ranjan Senapati, Pabitra Mohan Khilar)....Pages 83-107 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 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 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 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 Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization (Rohit Gavval, Vadlamani Ravi)....Pages 213-239 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 An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction (Minakhi Rout, Koffi Mawuna Koudjonou)....Pages 279-295