To this end we propose Tpred, a framework based on probabilistic suffix trees which tries to capture typical movement patterns of moving objects, and computes ...
The paper [17] proposed TPRED, an approach based on a Prefix-Tree to predict the next stop and when the user will leave the current location. TPRED mines the ...
Tpred is proposed, a framework based on probabilistic suffix trees which tries to capture typical movement patterns of moving objects, and computes reliable ...
ABSTRACT. The vast diffusion of devices equipped with a GPS receiver has brought the possibility of collecting data related to massive amounts.
To this end we propose TPRED, a framework based on probabilistic suffix trees which tries to capture typical movement patterns of moving objects, and computes ...
Bibliographic details on TPRED: a Spatio-Temporal Location Predictor Framework.
STP analysis uses data that contains location data, input fields for prediction (predictors), a time field, and a target field.
Combining the two definitions, spatio-temporal forecasting is about estimating the type of event that will occur at a specific time and location in the future.
为此，我们提出了Tpred，这是一个基于概率后缀树的框架，它试图捕捉运动物体的典型运动模式，并通过利用空间和时间域的信息相应地计算可靠的预测。为了证明我们的贡献的 ...
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What is the spatio temporal forecasting model?
What does spatio temporal location mean?
▹ TPRED. ROCHA et al. (2016). TPRED: a Spatio-Temporal Location Predictor Framework. IDEAS. ▸ GPS traces. ▸ Identify stops and builds a suffix tree with ...