Data management and analysis : case studies in education, healthcare and beyond
著者
書誌事項
Data management and analysis : case studies in education, healthcare and beyond
(Studies in big data, v. 65)
Springer, c2020
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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
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