Data Mining for Sales Prediction in Tourism

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Data Mining for Sales Prediction in Tourism

Data Mining for Sales Prediction in Tourism

Data Mining for Sales Prediction in Tourism management report in php By applying Rapid Miner workflows has been processed a datasets originated from different data files, and containing information about the sales over three years of a large chain of retail stores. Subsequently, has been constructed a Deep Learning model performing a predictive algorithm suitable for sales forecasting. This model is based on artificial neural network –ANN- algorithm able to learn the model starting from sales historical data and by pre-processing the data. The best built model uses a multiplayer neural network together with an “optimized operator” able to find automatically the best parameter setting of the implemented algorithm. In order to prove the best performing predictive model, other machine learning algorithms have been tested. This is one of the free php project on best project on Data Mining for Sales Prediction in Tourism. You can download free php mini project and synopsis on Data Mining for Sales Prediction in Tourism. Click here to get complete php projects lists.

The performance comparison has been performed between Support Vector Machine –SVM-, k-Nearest Neighbor k-NN-,Gradient Boosted Trees, Decision Trees, and Deep Learning algorithms. You can get mini project on Data Mining for Sales Prediction in Tourism. The comparison of the degree of correlation between real and predicted values, the average absolute error and the relative average error proved that ANN exhibited the best performance. The Gradient Boosted Trees approach represents an alternative approach having the second best performance. The case of study has been developed within the framework of an industry project oriented on the integration of high performance data mining models able to predict sales using–ERP- and customer relationship management –CRM- tools. You can download synopsis on Data Mining for Sales Prediction in Tourism

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : HTML5, CSS3, PHP
Database                          : MYSQL

Project Name Data Mining for Sales Prediction in Tourism
Project Category PHP
Project Cost 50$/ Rs 3499
Delivery Time 48 Hour
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