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Forecasting counts of user visits for online display ...

Forecasting counts of user visits for online display ...

Forecasting Counts of User Visits for Online Display ... model out of all other 7 baselines, showing that the user vis-its in the last hour is the most relevant to the current hour, which is totally consistent with the common sense. The second baseline of this work, namely BB PropSpec, is similar to the flrst one, but allows each web page to have its own best model selected from the 8 ...

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Forecast Error Measu res: Critical Review and Practical ...

Forecast Error Measu res: Critical Review and Practical ...

Recommendations. In Business Forecasting: Practical Problems and Solutions. John Wiley & Sons Inc. 3 estimates using some given loss function, we must use the same loss function for empirical evaluation in order to find out which model is better. Fitting a statistical model usually delivers forecasts optimal under quadratic loss. This, e.g ...

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ForAVis : explorative user forum analysis

ForAVis : explorative user forum analysis

ForA Vis -Explorative User Forum Analysis Franz Wanner University of Konstanz 78457 Konstanz, Germany [email protected]­ konstanz.de Thomas Ramm University of Konstanz 78457 Konstanz, Germany [email protected]­ konstanz.de Daniel A. Keim University of Konstanz 78457 Konstanz, Germany [email protected]­ konstanz.ae ABSTRACT User generated textual content on the internet has become increasingly ...

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Forecasting Hotspots - A Predictive Visual Analytics Approach

Forecasting Hotspots - A Predictive Visual Analytics Approach

Forecasting Hotspots - A Predictive Visual Analytics Approach ... The user is analyzing respiratory syndrome counts across the state at a county level aggregation. In the time series window yellow diamonds indicate temporal alerts, the white line represents the current day, and the transparent polygon represents the bounds of the time series prediction. Note that predicted values are only ...

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PredVis: Interaction Techniques for Time Series Prediction

PredVis: Interaction Techniques for Time Series Prediction

visual analysis of time series data for forecasting. The system pro-vides tools to interact with model calculated results, visually query variances and integrate other dimensions of the data to improve user comprehension and decision-making. The methods developed in the system are generic and can be employed for analysis in domains including finance, health, marketing and astronomy. Index ...

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Workload forecasting for a call center: Methodology and a ...

Workload forecasting for a call center: Methodology and a ...

Forecasting methods: In recent years, technological advances have enabled re-searchers to employ sophisticated Bayesian techniques to call forecasting. These yield the forecasted arrival counts,aswellastheirdistribution, thus providing far more information than just point estimates.

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APOSTOLOS PYRGELIS, CARMELA TRONCOSO, EMILIANO DE ...

APOSTOLOS PYRGELIS, CARMELA TRONCOSO, EMILIANO DE ...

counts can be used for ranking hotspots, data generalization for forecasting traffic, hotspot discovery, and map inference, while sampling is effective for location labeling and anomaly detection when the dataset is sparse. Differentially private techniques provide reasonable accuracy only in very specific settings, e.g., discovering hotspots and forecasting their traffic, and more so when ...

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The Evaluation of Forecasting Methods at an Institutional ...

The Evaluation of Forecasting Methods at an Institutional ...

casting meal counts for an institutional food service facility. The forecasting meth- ods analyzed included: naPve model 1,2, and 3; ... Na'ive methods are forecasting techniques obtained with a minimal amount of effort and data manipulation and are based on the most recent information available (Shim, 2000). The na'ive 1 method uses data from the previous day to forecast the current (one re ...

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Design Traffic Forecasting Manual

Design Traffic Forecasting Manual

FROM “Minimum 24 hour bi-directional counts ...” TO “Minimum 48 hour bi-directional counts ...” Changed Appendix E (Figure 6) Changed Appendix E (Figure 9) 1.2 11/15/17 Reformatted manual to template 1.3 1/25/18 Chapter 6 – Revised the list of Long Range Transportation Plan (LRTP) Networks 1.4 10/24/18 Updated GDOT logo throughout . Design Traffic Forecasting Manual Rev. 1.4 List of ...

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DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ... - arXiv

DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ... - arXiv

to specify: (a) the purpose of the model, (b) the end user to whom the model is targeted, (c) the spatial and temporal resolution of the model, (d) and the underlying assumptions and limitations. We illustrate these issues by summarizing a few key methods for projection and forecasting of disease outcomes in the US and Sweden. Organization. The paper is organized as follows. In Section 2 we ...

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Forecasting Daily Emergency Department Visits Using ...

Forecasting Daily Emergency Department Visits Using ...

Forecasting Daily Emergency Department Visits Using Calendar Variables and Ambient Temperature Readings Izabel Marcilio, MD, MSc, Shakoor Hajat, MSc, PhD, and Nelson Gouveia, MD, MSc, PhD Abstract Objectives: This study aimed to develop different models to forecast the daily number of patients seeking emergency department (ED) care in a general hospital according to calendar variables and ...

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