Telecare service activity analysis using Big Data and Data Mining

Authors

  • Alfredo Moreno Muñoz Arquitecto de software en Tunstall Ibérica (España)
  • Juan Alfonso Lara Torralbo Profesor de la Universidad a Distancia de Madrid, UDIMA (España)

DOI:

https://doi.org/10.51302/tce.2017.117

Keywords:

Big Data, Hadoop, MapReduce, Mahout, Data Mining, telecare, users, calls

Abstract

In the current moment that we are living now, the use of Big Data is taken a strength and a very important relevance. The biggest com­panies of social sector and service sector are using Big Data technologies that allow to store and treat all the information that they have of users and, in a second way, the incorporation of the knowledge of the treatment of this infor­mation in the life of the users, in the way of improve the services offered and go to the next step in the relationship of customer/company.

In telecare, with the IP technology in Telecare Unit, the communication between the unit and control centre will be done using internet ins­tead of telephony cable. The companies will start to use these technologies to store all the information that the unit will send to the control center. With all this information, the compa­nies will be able to discover patterns of user’s behavior, detect some illnesses like, for exam­ple, alzheimer. The most important action that the companies will be able to have is to have more information related to the situation of all devices and sensors installed in user’s home when the emergency alarm is raised.

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Published

2017-01-10

How to Cite

Moreno Muñoz, A., & Lara Torralbo, J. A. (2017). Telecare service activity analysis using Big Data and Data Mining. Technology, Science and Education Journal, (6), 88–102. https://doi.org/10.51302/tce.2017.117