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Trend Projection using Predictive Analytics
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 97 - Number 19 |
| Year of Publication: 2014 |
| Authors: Seema L . Vandure, Manjula Ramannavar, Nandini S. Sidnal |
10.5120/17119-7807
|
Seema L . Vandure, Manjula Ramannavar, Nandini S. Sidnal . Trend Projection using Predictive Analytics. International Journal of Computer Applications. 97, 19 ( July 2014), 39-45. DOI=10.5120/17119-7807
Abstract
With the growing use of social media networks, trends are being discussed and talked about everywhere. Trend Analysis is a skeletal mapping of expected changes or activities occurring in the societies, markets, organizations and the consumers who drive them. Past trends and patterns in the data can be studied and used, to make predictions for future. Regression is the commonly known technique to perform predictive analytics. In this system Linear Regression and SVM is analyzed for efficiency. Future sales trends are predicted using both the model and they are compared. Even impact of Google trends data on market sales is analyzed. Finally we conclude that search trends are useful in prediction of market sales where correlation is high and we also indicate that SVM is better to perform predictions.
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