
200 S Laurel Ave - Bldg B
Middletown, NJ
Spatio-Temporal Models For Wireless Network Data
Ganesh Subramaniam, Colin Goodall, R. Varadhan Johns Hopkins University, Dongyu Lin
2011.
[PDF]
[BIB]
{Spatial-temporal models arise when data are collected across both space and time. With AT&T network data, a typical example would be that of a monitoring data on the mobility network (a network of towers) on which data are collected at regular intervals, say on a monthly basis. We have a time series associated with usage of minutes (voice) and Kb (data) for every tower located throughout the country. Thus the analysis has to take account of spatial dependence among the towers, but also that the observations at each tower typically are not independent but form a time series. In other words, one must take account of temporal correlations as well as spatial correlations. The topic of interest is how do the temporal patterns associated with the time series of a given tower correlate to temporal patterns in neighboring towers. We use a sample of time series from the network data to explore this question.
}
Forecasting Outcomes Based On The Analysis Of Text Strings,
Tue Feb 02 15:50:19 EST 2010
A method and a processing device are provided for forecasting whether a record of data for an individual is associated with an outcome. Whether an n-gram associated with one of a group of predictors matches an n-gram included in the record of data is determined. When the n-gram included with the one of the group of predictors matches the n-gram in the record of data, a prediction is made as to whether the record of data is associated with the outcome based on a value assigned to the one of the group of predictors.
Forecasting A Volume Associated With An Outcome Based On Analysis Of Text Strings,
Tue Feb 17 15:38:36 EST 2009
A method and a device are provided for forecasting a volume associated with an outcome. A determination is made with respect to whether n-grams associated with a group of predictors matches n-grams included in records of data. A probability is estimated with respect to each of the records of data being associated with the outcome based on a value assigned to a respective one of the group of predictors when the n-gram associated with the respective one of the group of predictors is determined to match the n-gram included in a respective one of the records of data. An estimate of the volume associated with the outcome is calculated based on the estimated probabilities.
Forecasting outcomes based on analysis of text strings,
Tue Jan 29 18:12:35 EST 2008
A method and a processing device are provided for forecasting whether a record of data for an individual is associated with an outcome. Whether an n-gram associated with one of a group of predictors matches an n-gram included in the record of data is determined. When the n-gram included with the one of the group of predictors matches the n-gram in the record of data, a prediction is made as to whether the record of data is associated with the outcome based on a value assigned to the one of the group of predictors.