000923562 000__ 03406cam\a2200433Ii\4500 000923562 001__ 923562 000923562 005__ 20230306151034.0 000923562 006__ m\\\\\o\\d\\\\\\\\ 000923562 007__ cr\nn\nnnunnun 000923562 008__ 191129s2020\\\\sz\a\\\\o\\\\\000\0\eng\d 000923562 020__ $$a9783030338206$$q(electronic book) 000923562 020__ $$a3030338207$$q(electronic book) 000923562 020__ $$z9783030338190 000923562 0248_ $$a10.1007/978-3-030-33 000923562 035__ $$aSP(OCoLC)on1129143745 000923562 035__ $$aSP(OCoLC)1129143745 000923562 040__ $$aLQU$$beng$$cLQU$$dGW5XE$$dOCLCF 000923562 049__ $$aISEA 000923562 050_4 $$aQA76.9.N37 000923562 08204 $$a620.00285 000923562 24500 $$aNature inspired computing for data science /$$cMinakhi Rout, Jitendra Kumar Rout, Himansu Das, editors. 000923562 264_1 $$aCham :$$bSpringer,$$c2020. 000923562 300__ $$a1 online resource (xii, 295 pages) :$$billustrations. 000923562 336__ $$atext$$btxt$$2rdacontent 000923562 337__ $$acomputer$$bc$$2rdamedia 000923562 338__ $$aonline resource$$bcr$$2rdacarrier 000923562 4901_ $$aStudies in computational intelligence ;$$vSCI v. 871 000923562 5050_ $$aAn Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO based Optimized Neural Network -- Mid-term Home Health Care Planning Problem with Flexible Departing Way for Caregivers -- Performance Analysis of NASNet on Unconstrained Ear Recognition -- Optimization of performance parameter for Vehicular Ad-hoc NETwork (VANET) using Swarm Intelligence -- Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data -- Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in microgrids -- Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas -- a case study in San Miguelito, Honduras -- Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making -- Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-Objective Particle Swarm Optimization -- Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study -- An Evolutionary Algorithm based Hybrid Parallel Framework for Asia Foreign Exchange Rate prediction. 000923562 506__ $$aAccess limited to authorized users. 000923562 520__ $$aThis book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. 000923562 650_0 $$aNatural computation. 000923562 7001_ $$aRout, Minakhi. 000923562 7001_ $$aRout, Jitendra Kumar. 000923562 7001_ $$aDas, Himansu. 000923562 830_0 $$aStudies in computational intelligence ;$$vv. 871. 000923562 852__ $$bebk 000923562 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-33820-6$$zOnline Access$$91397441.1 000923562 909CO $$ooai:library.usi.edu:923562$$pGLOBAL_SET 000923562 980__ $$aEBOOK 000923562 980__ $$aBIB 000923562 982__ $$aEbook 000923562 983__ $$aOnline 000923562 994__ $$a92$$bISE