Using reputation management in participatory sensing for data classification
Yang, Haofan, Zhang, Jinglan, & Roe, Paul (2011) Using reputation management in participatory sensing for data classification. In Elhadi , Shakshuki & Nauman , Aslam (Eds.) Proeccedings of 2nd International Conference on Ambient Systems, Networks and Technologies, Elsevier, Niagara Falls, Ontario, Canada.
Participatory sensing enables collection, processing, dissemination and analysis of environmental sensory data by ordinary citizens, through mobile devices. Researchers have recognized the potential of participatory sensing and attempted applying it to many areas. However, participants may submit low quality, misleading, inaccurate, or even malicious data. Therefore, finding a way to improve the data quality has become a significant issue. This study proposes using reputation management to classify the gathered data and provide useful information for campaign organizers and data analysts to facilitate their decisions.
Impact and interest:
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|Item Type:||Conference Paper|
|Additional Information:||All ANT-2011 accepted papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line and CD).|
|Keywords:||Reputation, Decision Making, Concept Design, Community Informatics|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2011 please consult the authors|
|Deposited On:||06 Jul 2011 00:53|
|Last Modified:||07 Jul 2011 09:38|
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