Iterative Data Analysis for Sensing Applications

Ella Peltonen

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Smartphones and other sensor devices can generate large amounts of data in a short time. Even if their computing capacity and battery lifetime can be limited, they usually have good communication capabilities, so that they can take advantage of remote services. Large-scale data analysis offers methodology, which can be used to improve functionality of the applications and extend the user activity. This creates a need for an iterative data analysis system, which offers streaming processing, data flow management, and machine learning algorithms suitable for complex sensing data. My PhD work aims to design principles and practices for an iterative data analysis algorithms and workflow. As a case study, we are building a mobile application that measures context factors’ combined impact to energy consumption. Our approach will be useful for different types of cases, where it is important to understand complex data sources in real time.
Originalspråkengelska
Titel på värdpublikationPervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference
Antal sidor2
FörlagIEEE
Utgivningsdatum23 mars 2015
Sidor251-252
ISBN (elektroniskt)978-1-4799-8425-1
StatusPublicerad - 23 mars 2015
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangIEEE International Conference on Pervasive Computing and Communications Workshops - St. Louis, MO, Förenta Staterna (USA)
Varaktighet: 23 mars 201527 mars 2015

Bibliografisk information

Runner-up: Best PhD Forum Presentation Award.

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

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