Laurila, Juha ; Gatica-Perez, Daniel ; Aad, Imad ; Blom, Jan ; Bornet, Olivier ; Do, Trinh Minh Tri ; Dousse, Olivier ; Eberle, Julien ; Miettinen, Markus (2013)
From big smartphone data to worldwide research: The Mobile Data Challenge.
In: Pervasive and Mobile Computing, 9
doi: 10.1016/j.pmcj.2013.07.014
Article, Bibliographie
Abstract
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks.
| Item Type: | Article |
|---|---|
| Erschienen: | 2013 |
| Creators: | Laurila, Juha ; Gatica-Perez, Daniel ; Aad, Imad ; Blom, Jan ; Bornet, Olivier ; Do, Trinh Minh Tri ; Dousse, Olivier ; Eberle, Julien ; Miettinen, Markus |
| Type of entry: | Bibliographie |
| Title: | From big smartphone data to worldwide research: The Mobile Data Challenge |
| Language: | German |
| Date: | December 2013 |
| Journal or Publication Title: | Pervasive and Mobile Computing |
| Volume of the journal: | 9 |
| DOI: | 10.1016/j.pmcj.2013.07.014 |
| Abstract: | This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks. |
| Uncontrolled Keywords: | ICRI-SC |
| Identification Number: | TUD-CS-2013-0320 |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > System Security Lab Profile Areas Profile Areas > Cybersecurity (CYSEC) |
| Date Deposited: | 04 Aug 2016 10:13 |
| Last Modified: | 27 Sep 2018 09:20 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum