A Computational Movement Analysis Framework For Exploring Anonymity In Human Mobility Trajectories
نویسنده
چکیده
منابع مشابه
A Framework for Exploring the Frequent Patterns based on Activities Sequence
In recent years, the development of the use of location-based tools has made it possible to produce geometric trajectories from the user's movement paths. In this way, users' goal of traveling and related activities can be considered in addition to the geometry and route shape. the user activity trajectory represents the sequence of the visited activities and its related analysis as presented i...
متن کاملAnalysis of human mobility patterns from GPS trajectories and contextual information
Human mobility is important for understanding the evolution of size and structure of urban areas, the spatial distribution of facilities, and the provision of transportation services. Until recently, exploring human mobility in detail was challenging because data collection methods consisted of cumbersome manual travel surveys, space-time diaries or interviews. The development of location-aware...
متن کاملMining Top-K Relevant Stay Regions from Historical Trajectories
With increasingly prevalent mobile positioning devices, such as GPS loggers, smart phones, and GPS navigation devices, a huge amount of trajectories data is collected. Users are able to obtain the various location-based services by uploading their trajectories. In this paper, we address that a user’s movement behavior is able to discover by their similar shape trajectories and resulted in some ...
متن کاملPhenomenology of Place in New Topographic Photography
This study uses the phenomenological approach of place to study the place in the contemporary era, which has been portrayed by New Topography artists. This style of photography, according to human function in nature in the contemporary world, was able to reveal facts about the destruction of the earth and proved its position as an applied photography. Given the need for this method of photograp...
متن کاملMicroaggregation- and Permutation-Based Anonymization of Mobility Data
Movement data, that is, trajectories of mobile objects, are automatically collected in huge quantities by technologies such as GPS, GSM or RFID, among others. Publishing and exploiting such data is essential to improve transportation, to understand the dynamics of the economy in a region, etc. However, there are obvious threats to the privacy of individuals if their trajectories are published i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016