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MoDisSENSE: A distributed platform for social networking services over mobile devices
2014
2014 IEEE International Conference on Big Data (Big Data)
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In this work we present MoDisSENSE, a distributed analytics platform for social networking services over mobile devices. ...
MoDisSENSE collects and stores various types of data from heterogeneous sources, such as GPS traces from cell phones, user profile information and comments from social networks connected to the platform ...
To this end, we present MoDisSENSE, a social network based, geo-location service that exploits spatio-temporal and social data. ...
doi:10.1109/bigdata.2014.7004490
dblp:conf/bigdataconf/MytilinisGKDK14
fatcat:tvjt5wyddvhj3kdzvws4e2wqx4
MoDisSENSE
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15
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A user's digital footprint coming from social networks or mobile devices, such as comments and check-ins contains valuable information about his preferences. ...
In this work, we present MoDis-SENSE, an open-source distributed platform that provides personalized search for points of interest and trending events based on the user's social graph by combining spatio-textual ...
The mobile devices, that have MoDisSENSE application installed, can push their GPS traces to the platform. ...
doi:10.1145/2723372.2735375
dblp:conf/sigmod/MytilinisGKDTTG15
fatcat:z2rnvg2ym5fcrhe2ynyzmig4eu
Query Processing Techniques for Big Spatial-Keyword Data
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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The widespread use of GPS-enabled cellular devices, i.e., smart phones, led to the popularity of numerous mobile applications, e.g., social networks, micro-blogs, mobile web search, and crowd-powered reviews ...
We describe the main models for big spatialkeyword processing, and list the popular spatial-keyword queries. ...
Examples of these applications include social networks, micro-blogs, mobile web-search, and crowd-powered reviews. ...
doi:10.1145/3035918.3054773
dblp:conf/sigmod/MahmoodA17
fatcat:h444z7zuazayhcjc2syjygz6mu
Challenges in Crowdsourcing Geospatial Data to Replace or Enhance Official Sources
2018
Disegnare con
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networks. ...
Governmental sources account for several important data categories, but not necessarily up-to-date, or even covering all aspects. ...
MoDisSENSE: A Distributed Spatio-Temporal and Textual Processing Platform for Social Networking Services. Paper presented at the ACM SIGMOD, Melbourne, Australia. Okolloh, O. (2009). ...
doaj:5e9dbc80ece84fb897a682462295553e
fatcat:heirl62oqfd63ejhmvfbmdwkji
Modeling Big Data Applications and Operators in Cloud environments
[article]
2020
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The performance is, then, approximated for the entire space using a combination of linear models for each subregion. ...
Moreover, the wide variety of the existing datasets have complicated the problem of selecting the appropriate inputs for a given operator, since the examination of the data utility for a given workflow ...
Koziris: MoDisSENSE: A Distributed Platform for Social Networking Services over Mobile Devices. ...
doi:10.26240/heal.ntua.18604
fatcat:d5jbfqw2ingytjkzbotc34vqqu