| Bibliography | Bürklen, Susanne; Marrón, Pedro José; Rothermel, Kurt: An Enhanced Hoarding Approach Based on Graph Analysis.
In: Proceedings of the 5th IEEE International Conference on Mobile Data Management (MDM 2004); Berkeley, California, USA; January 19-22, 2004.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 358-369, english.
Los Alamitos: IEEE Computer Society, January 2004.
Article in Proceedings (Conference Paper).
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| Corporation | International Conference on Mobile Data Management |
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| CR-Schema | H.3.4 (Information Storage and Retrieval Systems and Software)
I.5.3 (Pattern Recognition Clustering)
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| Abstract | The proliferation of mobile devices has led to the creation of hoarding algorithms that attempt to mitigate the problems related with disconnected operation or with the operation in areas where bandwidth is either scarce or very expensive. Traditional hoarding approaches use probability access tables to determine what information needs to be sent to the mobile device, but fail to take the structured nature of data into account. In this paper, we present an enhanced hoarding approach for semistructured information that relies on the analysis of graphs to determine the information that needs to be hoarded. We show by means of experimental evaluations on webpages that our approach outperforms other hoarding algorithms that treat information as the combination of unrelated items.
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Full text and
other links | Nexus Project
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| Contact | buerklse@informatik.uni-stuttgart.de |
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
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| Project(s) | SFB-627, A2 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)
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| Entry date | September 15, 2003 |
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