Nicht lieferbar
Andere Kunden interessierten sich auch für
![Document analysis by means of data mining techniques]( "Document analysis by means of data mining techniques")
Document analysis by means of data mining techniques40,99 €![New Approach Using Machine Learning Techniques for Rainfall Prediction]( "New Approach Using Machine Learning Techniques for Rainfall Prediction")
New Approach Using Machine Learning Techniques for Rainfall Prediction40,99 €![From Social Data Mining and Analysis to Prediction and Community Detection]( "From Social Data Mining and Analysis to Prediction and Community Detection")
From Social Data Mining and Analysis to Prediction and Community Detection88,99 €![Going Viral: Prediction of Online Virality with Synthedemic Modelling]( "Going Viral: Prediction of Online Virality with Synthedemic Modelling")
Going Viral: Prediction of Online Virality with Synthedemic Modelling46,99 €![PPI-Filter :a framework for Protein-Protein Interactions prediction]( "PPI-Filter :a framework for Protein-Protein Interactions prediction")
PPI-Filter :a framework for Protein-Protein Interactions prediction32,99 €![A Traffic Simulation Tool for Data Mining Analysis]( "A Traffic Simulation Tool for Data Mining Analysis")
A Traffic Simulation Tool for Data Mining Analysis42,99 €![Advanced Data Mining and Applications]( "Advanced Data Mining and Applications")
Advanced Data Mining and Applications75,99 €
Nowadays it is of great importance for companies to make predictions, as well as to measure how they have behaved over time, in order to be able to plan the course of their business, reduce losses and increase profits. In order to generate an estimate of sales, different data mining techniques were analyzed. Among the techniques that were selected are time series, and within it, moving averages, exponential smoothing and trend adjusted exponential smoothing; linear regression and random trees were also selected. Prediction models were created with each one of the techniques, applying the corresponding equations and the information extracted from the database, in order to generate sales predictions with greater precision, to later compare the different results and measure the percentage of error.