Abstract
There is a global rise in use of mobile devices like mobile phones, PDA, palmtop, etc. for web browsing. Web page usually includes the scrolling that makes web browsing time-consuming. In this work, we used genetic algorithm based fuzzy inference system and utilised the power of genetic algorithm to optimise the fuzzy rules base web content classification. The content of the web page is partitioned into blocks and applies the genetic-based fuzzy inference system to discriminate the main block. The filtered main blocks are then reorganised on the device. As a result of our approach, the mobile web user is presented with the filtered web page content without noise which results in persistent content, fast accessing, and better utilisation of limited space. We implemented the system and result shows that the hybrid genetic-based fuzzy inference system provides better classification accuracy (93.57%) as compared with fuzzy inference system (78.55%) accuracy of classification.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information and Decision Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
