Improved Data Granularity Management Through a Generalized Model for Sensor Data and Data Mining Outputs in Telemonitoring Applications View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Pierre Maret , Shin’ishi Warisawa , Fabrice Muhlenbach , Guillaume Lopez , Ichiro Yamada

ABSTRACT

Telemonitoring systems are expected to accomplish two basic tasks: continuously collect data from data sources wherever they may be; and allow remote communication between stakeholders to access data. The implementation and maintenance of these systems requires specific attention of software engineers for data management because of the complexity of the management of various data sources and because of privacy-related issues of personal data. In this paper we propose a data model that is generic enough to describe and to support many kinds of telemonitoring applications, especially those combining sensor data with data mining techniques and outputs. We show that our data model is useful for a smooth management of data mining outputs and that it avoids the integration effort for dealing with different heterogeneous storage mechanisms. We show also that our data model eases the management of the granularity of data and that it facilitates software designers’ tasks for the implementation of privacy protection mechanisms. More... »

PAGES

166-177

References to SciGraph publications

  • 2008-10. Designing for privacy and self-presentation in social awareness in PERSONAL AND UBIQUITOUS COMPUTING
  • 2001-10-16. Privacy by Design — Principles of Privacy-Aware Ubiquitous Systems in UBICOMP 2001: UBIQUITOUS COMPUTING
  • 2010. The RDF Protune Policy Editor: Enabling Users to Protect Data in the Semantic Web in WEB INFORMATION SYSTEMS AND TECHNOLOGIES
  • 2006. Ubiquitous Healthcare: Technology and Service in INTELLIGENT PARADIGMS FOR ASSISTIVE AND PREVENTIVE HEALTHCARE
  • 2013-07. From the internet of things to embedded intelligence in WORLD WIDE WEB
  • 2004-11. Personal privacy through understanding and action: five pitfalls for designers in PERSONAL AND UBIQUITOUS COMPUTING
  • 2014. Integration and Evolution of Data Mining Models in Ubiquitous Health Telemonitoring Systems in MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING, AND SERVICES
  • 2007. Mobile Agents Using Data Mining for Diagnosis Support in Ubiquitous Healthcare in AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS
  • 2011. Data Mining with Rattle and R, The Art of Excavating Data for Knowledge Discovery in NONE
  • 2006-04. A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment in ANNALS OF BIOMEDICAL ENGINEERING
  • Book

    TITLE

    Model and Data Engineering

    ISBN

    978-3-319-23780-0
    978-3-319-23781-7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-23781-7_14

    DOI

    http://dx.doi.org/10.1007/978-3-319-23781-7_14

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084694975


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