X Miao, Y Gao, G Chen, B Zheng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Given a setS of multidimensional objects and a query object q, ak nearest neighbor (kNN) query finds from S the k closest objects to q. This query is a fundamental problem in …
AC Carniel - Proceedings of the 12th International Conference on …, 2020 - dl.acm.org
Spatial information retrieval is a common task of digital ecosystems due to the popularity of collecting and storing spatial information and phenomena in the world of the Internet of …
In part due to the proliferation of GPS-equipped mobile devices, massive svolumes of geo- tagged streaming text messages are becoming available on social media. It is of great …
Y Gao, B Zheng, G Chen, Q Li, X Guo - The VLDB Journal, 2011 - Springer
In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query line …
We propose and study a new type of location optimization problem, the min-dist location selection problem: given a set of clients and a set of existing facilities, we select a location …
Y Wang, R Zhang, C Xu, J Qi, Y Gu, G Yu - Information Systems, 2014 - Elsevier
A visible k nearest neighbor (Vk NN) query retrieves k objects that are visible and nearest to the query object, where “visible” means that there is no obstacle between an object and the …
Y Gao, J Yang, G Chen, B Zheng, C Chen - Proceedings of the 19th ACM …, 2011 - dl.acm.org
In this paper, we study a new form of reverse nearest neighbor (RNN) queries, ie, obstructed reverse nearest neighbor (ORNN) search. It considers the impact of obstacles on the …
Y Gao, Q Liu, X Miao, J Yang - Information Sciences, 2016 - Elsevier
In this paper, we study a new form of reverse nearest neighbor (RNN) queries, ie, obstructed reverse nearest neighbor (ORNN) search. It considers the impact of obstacles on the …
The volume of time series stream data grows rapidly in various applications. To reduce the storage, transmission and processing costs of time series data, segmentation and …