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https://www.amazon.com/Mobility-Data-Mining-Privacy-Geographic/dp/3540751769
Sep 08, 2008 · This is a scenario of great opportunities and risks: on one side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information.4/4(1)
http://infolab.cs.unipi.gr/?page_id=1024
The general goal of the GeoPKDD project is to develop theory, techniques and systems for knowledge discovery and delivery, based on new automated privacy-preserving methods for extracting user-consumable forms of knowledge from large amounts of raw data referenced in space and in time.
https://kdd.isti.cnr.it/project/geographic-privacy-aware-knowledge-discovery-and-delivery
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. Miniaturization, wearability, pervasiveness is producing traces of our mobile activity, with increasing positioning accuracy and semantic richness: Location data from mobile phones:
https://kdd.isti.cnr.it/~nanni/papers/GeoPKDD-MSTD05.pdf
discovery of consumable and concise knowledge out of these raw data is made possible. The goal of the GeoPKDD project is to develop theory, techniques and systems for geographic knowledge discovery and delivery, based on new privacy-preserving methods for extracting knowledge from large amounts of raw data ref-erenced in space and time.
https://www.springer.com/gp/book/9783540751762
A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy. This book assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap.
https://www.acronymattic.com/Knowledge-Discovery-and-Delivery-(KDD).html
Knowledge Discovery and Delivery (KDD) ISTI-CNR, Italy. C. Lee Giles. The Pennsylvania State University, USA. Harald Gjermundrod. University of Nicosia, Cyprus.
https://link.springer.com/book/10.1007/978-3-540-75177-9
This is a scenario of great opportunities and risks: on one side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information.
https://www.researchgate.net/publication/234720559_Mobility_data_mining_and_privacy_Geographic_knowledge_discovery
Today, knowledge discovery from geographic data is still an open research field but promises to be a solid starting point for developing solutions for mining spatiotemporal patterns in a knowledge ...
https://dl.acm.org/doi/book/10.5555/1355342
This book is a byproduct of a European project called geographic privacy-aware knowledge discovery and delivery (GeoPKDD). Its purpose is to demonstrate that it is possible to create useful mobility knowledge out of raw spatiotemporal data, by means of privacy-preserving data mining techniques.
http://www.di.unipi.it/~rinziv/prin/slides/GeoPKDD-VENEZIA.2005.10.17.pdf
TheWirelessExplosion • Mobile devices, linking the real and virtual worlds could change your perception of your surroundings. (The Economist, may 2003)
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