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CS 161: Chapter 7 Data Structures
CS 161: Chapter 7 Data Structures

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... Module content makes use of examples that are based on current events and timely business  topics.  Adopting  the  Plan/Do/Report  problem‐solving  approach,  worked  examples  show  students how to clearly define the business decision to be made and plan which method to  use,  do  the  business  an ...
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Data Mining in Forecasting

< 1 ... 70 71 72 73 74 75 >

Forecasting

Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology, the terms ""forecast"" and ""forecasting"" are sometimes reserved for estimates of values at certain specific future times, while the term ""prediction"" is used for more general estimates, such as the number of times floods will occur over a long period.Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.
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