Zobrazeno 1 - 10
of 40
pro vyhledávání: '"mobility mining"'
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Akademický článek
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Autor:
Bita Shams, Saman Haratizadeh
Publikováno v:
Journal of Spatial Science. 63:115-134
Automatic discovery of significant locations from row GPS data is the first phase of mining mobility pattern and developing location-aware services. Unfortunately, current location discovery algorithms are ineffective when locations have different lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::529c845cace6f4a2b898370f7150ca66
https://doi.org/10.1080/14498596.2017.1327374
https://doi.org/10.1080/14498596.2017.1327374
Autor:
In-Ho Ra, Regin Cabacas
Publikováno v:
2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD).
This paper explores mobility mining to extract relevant node and network characteristics in Delay Tolerant Networks during disaster scenarios. Through mobility analysis, this paper aims to discover location hotspots and look at mobility entropy of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7f8c21f5dcb725ea74af408d192c4d
https://doi.org/10.1109/icaibd.2019.8836991
https://doi.org/10.1109/icaibd.2019.8836991
Publikováno v:
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection ISBN: 9783319945798
PAAMS
PAAMS
Within the mobility mining discipline, several solutions for the classification of spatio-temporal trajectories have been proposed. However, they usually do not fully consider the particularities of trajectories from human-generated data like online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e68327058dcda6c1a2da1c8e15a2d3e1
https://doi.org/10.1007/978-3-319-94580-4_11
https://doi.org/10.1007/978-3-319-94580-4_11
Publikováno v:
Proceedings of the Knowledge Capture Conference.
Understanding human mobility is the key problem in many applications such as location-based services and recommendation systems. The mobility of a smartphone user can be modeled by a movement graph, in which the nodes represent locations and the edge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8444dbca5891731e1c176a5b5c13e8ad
https://doi.org/10.1145/3148011.3154469
https://doi.org/10.1145/3148011.3154469
Publikováno v:
KI - Künstliche Intelligenz. 26:215-221
Over the past five to seven years the analysis of trajectory data has established itself as an independent research discipline within the area of data mining. In this article we provide an overview on data characteristics, state-of-the-art preprocess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d60f2f2b5da545e4f4c2c78758188d87
https://doi.org/10.1007/s13218-012-0215-2
https://doi.org/10.1007/s13218-012-0215-2
Autor:
Christine Körner
Publikováno v:
KI - Künstliche Intelligenz. 26:279-283
Josep Domingo-Ferrer is a Full Professor of Computer Science and an ICREA-Academia Researcher at Universitat Rovira i Virgili, Tarragona, Catalonia, where he holds the UNESCO Chair in Data Privacy. He received his M. Sc. and Ph.D. in Computer Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26609f26d70bbd8b35e200512b4e2ef7
https://doi.org/10.1007/s13218-012-0193-4
https://doi.org/10.1007/s13218-012-0193-4
Publikováno v:
ICDM
We are interested in inferring the set of waypoints (or intermediate destinations) of a mobility trajectory in the absence of timing information. We find that, by mining a dataset of real mobility traces, computing the entropy of conditional Markov t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d724cf42b60a6edb08cf476a25f7b4
https://doi.org/10.1109/icdm.2015.134
https://doi.org/10.1109/icdm.2015.134