04821nam 22007455 450 991036660970332120200705081933.03-030-32587-310.1007/978-3-030-32587-9(CKB)5280000000190108(MiAaPQ)EBC6000773(DE-He213)978-3-030-32587-9(PPN)24281946X(EXLCZ)99528000000019010820191220d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Management and Analysis Case Studies in Education, Healthcare and Beyond /edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (261 pages)Studies in Big Data,2197-6503 ;653-030-32586-5 Chapter1: Leveraging protection and efficiency of query answering in heterogenous RDF data by a view layer -- Chapter2: Big Data Analytics of Healthcare Tweets for Opinion Mining on Physician Assistants -- Chapter3: An Introductory Multidisciplinary Data Science Course Incorporating Experiential Learning -- Chapter4: Homogenous Vs. Heterogeneous Distributed Data Clustering: A Taxonomy -- Chapter5: Order acceptance policy for make-to-order supply chain -- Chapter6: Importance of Data Analytics for Improving Teaching and Learning Methods -- Chapter7: Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach -- Chapter8: Face Reconstruction from profile to frontal evaluation of face recognition -- Chapter9: A Data Management Scheme for Micro-Level Modular Computation-intensive Programs in Big Data Platforms -- Chapter10: A Vertical Breadth-First Multilevel Path Algorithm to Find All Paths in a Graph -- Chapter11: Workflow Provenance for Big Data: From Modelling to Reporting -- Chapter12: A Perspective on “Working with Data” Curriculum Development -- Chapter13: Approaches for Early Detection of Glaucoma using Retinal Images: A Performance Analysis -- Chapter14: Binary Thermal Exchange Optimization for Feature Selection.Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas. .Studies in Big Data,2197-6503 ;65Big dataEngineering—Data processingMedical informaticsEducational technologySocial sciences—Data processingSocial sciences—Computer programsBig Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Data Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T11040Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Technology and Digital Educationhttps://scigraph.springernature.com/ontologies/product-market-codes/O47000Big Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Computational Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X34000Big data.Engineering—Data processing.Medical informatics.Educational technology.Social sciences—Data processing.Social sciences—Computer programs.Big Data.Data Engineering.Health Informatics.Technology and Digital Education.Big Data/Analytics.Computational Social Sciences.005.7005.7Alhajj Redaedthttp://id.loc.gov/vocabulary/relators/edtMoshirpour Mohammadedthttp://id.loc.gov/vocabulary/relators/edtFar Behrouzedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910366609703321Data Management and Analysis2275323UNINA