We have collected information about Geographic Privacy-Aware Knowledge Discovery And Delivery for you. Follow the links to find out details on Geographic Privacy-Aware Knowledge Discovery And Delivery.
https://kdd.isti.cnr.it/project/geographic-privacy-aware-knowledge-discovery-and-delivery
The objective of the GeoPKDD project is to discover useful knowledge about human movement behavior from mobility data, while preserving the privacy of the people under observation. While pursuing this ambitious objective, the GeoPKDD project has started a new exciting multidisciplinary research area, at the crossroads of mobility, data mining, and privacy.
https://kdd.isti.cnr.it/~nanni/papers/GeoPKDD-MSTD05.pdf
fers seamlessly from one cell to the next. In this context, a novel geographic knowledge discovery process may be envisaged, composed of three main steps: trajectories recon-struction, knowledge extraction, and delivery of the information obtained, described in the following (see Figure 1).
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.6955
The goal of the GeoPKDD project is to develop theory, techniques and systems for geographic knowledge discovery and delivery, based on new privacypreserving methods for extracting knowledge from large amounts of raw data referenced in space and time.
https://www.academia.edu/31274844/GeoPKDD_Geographic_Privacy-aware_Knowledge_Discovery
Academia.edu is a platform for academics to share research papers.
https://core.ac.uk/display/54916737
Geographic privacy-aware knowledge discovery and delivery By FOSCA GIANNOTTI, PEDRESCHI D and YANNIS THEODORIDIS No static citation data No static citation data CiteAuthor: Fosca Giannotti, Dino Pedreschi, Yannis Theodoridis
https://link.springer.com/chapter/10.1007%2F978-3-540-75177-9_1
Data Mining Mobility Data Trajectory Data Mobility Knowledge Move Object Database These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Author: Fosca Giannotti, Dino Pedreschi
http://core.ac.uk/display/29257783
Characterising mobile applications through a privacy-aware geographic knowledge discovery process . By M. Wachowicz, A. Ligtenberg, A. Renso and S. Gurses.
https://www.crcpress.com/Geographic-Data-Mining-and-Knowledge-Discovery-Second-Edition/Miller-Han/p/book/9781420073973
Geographic data mining and knowledge discovery is a promising young discipline with many challenging research problems. This book shows that this area represents an important direction in the development of a new generation of spatial analysis tools for data-rich environments.
https://link.springer.com/chapter/10.1007%2F978-3-540-75177-9_3
Global Position System Geographical Information System Knowledge Discovery Mobile Application Spatial Planning These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.Author: Monica Wachowicz, Arend Ligtenberg, Chiara Renso, Seda F. Gürses
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