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JSS
2006
134views more  JSS 2006»
14 years 9 months ago
On past-time indexing of moving objects
Tracking of mobile objects trajectories is one of many modern applications supported by Spatiotemporal databases. Within the context of this application, queries about the present...
Katerina Raptopoulou, Michael Vassilakopoulos, Yan...
ICDE
2008
IEEE
301views Database» more  ICDE 2008»
15 years 10 months ago
A Hybrid Prediction Model for Moving Objects
Existing prediction methods in moving objects databases cannot forecast locations accurately if the query time is far away from the current time. Even for near future prediction, m...
Hoyoung Jeung, Qing Liu, Heng Tao Shen, Xiaofang Z...
GEOINFORMATICA
2006
133views more  GEOINFORMATICA 2006»
14 years 9 months ago
Indexing Fast Moving Objects for kNN Queries Based on Nearest Landmarks
With the rapid advancements in positioning technologies such as the Global Positioning System (GPS) and wireless communications, the tracking of continuously moving objects has bec...
Dan Lin, Rui Zhang 0003, Aoying Zhou
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
15 years 9 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
15 years 10 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li