Facsimile Categorization and Juncture Ratio for Web Portal |
Author(s): |
| A.Ramya , GKM College of Engineering and Technology ; K.Jaisharma, GKM College of Engineering and Technology |
Keywords: |
| Frequent Pattern Mining, High Utility Itemset Mining, Transaction Database |
Abstract |
|
Nowadays it is difficult to get the exact image data that we need. The main objective of this project is to provide the exact image data to the user which is achieved by creating a web portal. With the help of Multi-view concept Learning (MCL) algorithm image data is categorized efficiently. The data thus retrieved is displayed to the user based on the inputs given by the user. The user can search specific image data in a strategic way that is being categorized by the MCL algorithm. Downloading the images is also of higher resolution to avoid pixel breaking which is predominant in this system. |
Other Details |
|
Paper ID: IJSRDV4I10391 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 597-599 |
Article Preview |
|
|
|
|
