[PDF] Top 20 Real time forecasting in a data rich environment
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Real time forecasting in a data rich environment
... from data-rich methods over univariate models mainly confine to downturn periods, we also investigate the sensitivity of the results over the (end of the) great moderation and recent ...the real ... See full document
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Real time QoS Monitoring for Big Data Analytics in Mobile Environment: an Overview
... mobile environment it is critical that one fully understand the mobile ...the real-time QoS monitoring (Bessis & Dobre, n.d.). Real-time monitoring as a service has been impacted by ... See full document
5
Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009)
... precise data in time and structure becomes available, it can readily be incorporated into the proposed ...structured data like that used to compute the final epidemic size in a multi-host population ... See full document
16
Real time drought forecasting system for irrigation management
... weather data, the hy- drological model needs further information to be set up, such as land use, soil texture, hydraulic conductivity (Ks), type of vegetation (dates of sowing and harvest), DEM (digital elevation ... See full document
14
Evaluating the use of real time data in forecasting output levels and recessionary events in the US
... the real-time ...of data against the danger of using samples that include structural ...the time-varying weights found in Table 2 arise because of changes in the trade-o®s between parameter ... See full document
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A spatial decision support system for flood hazard in Quang Nam province, Vietnam
... in real-time situations such as flood action ...the data collected from current existing meteorological monitoring systems of Quang Nam province with the current conditions of resource investment and ... See full document
199
Data Visualization to Evaluate and Facilitate Targeted Data Acquisitions in Support of a Real-time Ocean Forecasting System
... the forecasting skills for the NRL’s RTOFS called ...a data assimilation scheme, merges the data and background field together and applies forcing to derive an initial state from which NCOM, a ... See full document
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Real Time Forecasting in Practice: The U S Treasury Staff's Real Time GDP Forecast System
... three forecasting “rounds” to make a forecast of the first quarter of 1995: we call the three rounds “early,” “middle,” and “late” reflecting the monthly data pattern during the ...of data, and used ... See full document
27
Proposed Intelligent Pre-Processing Model of Real-Time Flood Forecasting and Warning for Data Classification and Aggregation
... in forecasting that is installed in the area under ob- servation, and T F = 5 according to a study carried out in several areas in Morocco for the rainfall factor, so P TC = ...sensors data, we obtain the ... See full document
21
Weather radar information processing and real time flood forecasting
... This thesis describes research into remotely sensed weather radar information systems and specifically addressesthree problems; 1 Weather radar data processing; 2 Real-time flood forecas[r] ... See full document
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Real Time Short Term Forecasting Based on Information Management
... summary statistics. The comparing experiments are car- ried out under normal traffic condition and abnormal traffic condition to evaluate the performance of four main branches of forecasting models on direct ... See full document
11
Transmission dynamics of cholera in Yemen, 2017: a real time forecasting
... the real-time fitting results of our ...with time. AIC values of using the latest data were 1,986,063 and 2,045,441 for logistic and generalized logistic models, respectively, favoring the ... See full document
8
Time Series Data Mining in Real Time Surface Runoff Forecasting through Support Vector Machine
... SVM is a well-known approach for solving the problem of function estimation. SVM algorithm was first developed to solve the classification problem, but the concept was further extended to the domain of regression ... See full document
6
The challenges of extract, transform and load (ETL) for data integration in near real-time environment
... batch-oriented data which, up to date and within scope for corporate insights and decision ...stream, time sensitive or sensor data requires different model and rather massive tweaking to the ETL ... See full document
5
Forecasting and tracking real time data revisions in inflation persistence
... given time period but which could very easily have ties to some other time ...contemporaneous time period that consists of a high inflationary time ...makes forecasting as well as the ... See full document
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Real time forecasting of inflation and output growth in the presence of data revisions
... di¤erent data vintages on model speci…cation and forecast evaluation, and in the use of ‘real-time data’ in assessing predictability, as opposed to using ‘…nal-revised’ data, based on ... See full document
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Real-time forecasting of emergency department arrivals using prehospital data
... our data, 20% of the arrivals had been notified more than 1 hour prior to ...incorporating time of notification into the forecasting model, we saw a substantial improvement in forecasting ... See full document
6
Fuzzy Logic Based Lane And Green Time Selector For Intersection For Smart Urban Traffic Control
... fixed time controller for three-phased controlled intersections with respect to average ...effective real-time traffic signal control at individual isolated intersections with varying traffic volume ... See full document
7
Real time positioning of a specific object in the big data environment
... big data, improve the information process- ing technology, and maintain the network ...big data environment can improve the monitoring and ... See full document
10
Forecasting and Tracking Real Time Data Revisions in Inflation Persistence
... nonparametric forecasting methods (f1 and f2) can be useful in identifying anomalies especially when compared to recent events since these two local nonparametric techniques either use the local nonparametric ... See full document
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