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SUMMARY:A crowdsourced approach for mobile sensing: How distributed data m
 ining meets mobile devices - Ella Peltonen (University of Helsinki)
DTSTART:20141009T140000Z
DTEND:20141009T150000Z
UID:TALK54143@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:A mobile device's battery lifetime\, privacy\, and smart use p
 resent challenges for the user\, the developer and the device manufacturer
 . To get a good view of real smartphone world\, we have conducted a collab
 orative analysis application called Carat (http://carat.cs.helsinki.fi/)\,
  which have collected measurements from over 750.000 mobile devices all ov
 er the world since 2012. Our current research aims to find new ways to loo
 k at the mobile device's whole state\, including system settings\, subsyst
 em variables\, applications\, ambient context\, and user intents. The rese
 arch aims to develop better energy models\, tools\, and recommendations on
  how to improve the device's operation.\n\nElla Peltonen is a PhD student 
 and a researcher in the NODES group led by professor Sasu Tarkoma\, at Uni
 versity of Helsinki\, Finland. Her research interests include distributed 
 machine learning and data mining methods for large and ambiguous data sets
 . Her current work focuses on analysis applications for mobile sensing dat
 a. She will stay this October in Cambridge.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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