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" Nature inspired computing for data science / "
Minakhi Rout, Jitendra Kumar Rout, Himansu Das, editors.
Document Type
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BL
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Record Number
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863024
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Title & Author
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Nature inspired computing for data science /\ Minakhi Rout, Jitendra Kumar Rout, Himansu Das, editors.
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Publication Statement
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Cham :: Springer,, 2020.
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Series Statement
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Studies in computational intelligence ;; SCI v. 871
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Page. NO
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1 online resource (xii, 295 pages) :: illustrations (some color)
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ISBN
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3030338207
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: 9783030338206
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3030338193
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9783030338190
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Contents
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An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO based Optimized Neural Network -- Mid-term Home Health Care Planning Problem with Flexible Departing Way for Caregivers -- Performance Analysis of NASNet on Unconstrained Ear Recognition -- Optimization of performance parameter for Vehicular Ad-hoc NETwork (VANET) using Swarm Intelligence -- Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data -- Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in microgrids -- Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas -- a case study in San Miguelito, Honduras -- Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making -- Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-Objective Particle Swarm Optimization -- Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study -- An Evolutionary Algorithm based Hybrid Parallel Framework for Asia Foreign Exchange Rate prediction.
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Abstract
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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.
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Subject
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Natural computation.
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Subject
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Natural computation.
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Dewey Classification
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620.00285
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LC Classification
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QA76.9.N37
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Added Entry
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Das, Himansu.
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Rout, Jitendra Kumar.
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Rout, Minakhi.
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