Data management and analysis : case studies in education, healthcare and beyond
Author(s)
Bibliographic Information
Data management and analysis : case studies in education, healthcare and beyond
(Studies in big data, v. 65)
Springer, c2020
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"