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Data management and analysis = case ...

Alhajj, Reda.

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Data management and analysis = case studies in education, healthcare and beyond /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data management and analysis/ edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far.
Reminder of title:	case studies in education, healthcare and beyond /
other author:	Alhajj, Reda.
Published:	Cham :Springer international Publishing : : 2020.,
Description:	viii, 260 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-030-32587-9
ISBN:	9783030325879

Data management and analysis = case studies in education, healthcare and beyond /
Data management and analysiscase studies in education, healthcare and beyond /[electronic resource] :edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far. - Cham :Springer international Publishing :2020. - viii, 260 p. :ill., digital ;24 cm. - Studies in big data,v.652197-6503 ;. - Studies in big data ;v.65..

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.

ISBN: 9783030325879

Standard No.: 10.1007/978-3-030-32587-9doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / D383 2020

Dewey Class. No.: 005.7

Data management and analysis = case studies in education, healthcare and beyond /
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245 0 0 $a Data management and analysis $h [electronic resource] : $b case studies in education, healthcare and beyond / $c edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far.
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505 0 $a 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.
520 $a 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.
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700 1 $a Far, Behrouz. $3 3295905
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