Machine Learning Algorithms in Web Page Classification

S Markkandeyan, M Rajakumaran, A Dennis Ananth

Machine Learning Algorithms in Web Page Classification
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Published
19 February 2024
Pages
140
ISBN
9786207465958

Machine Learning Algorithms in Web Page Classification

S Markkandeyan, M Rajakumaran, A Dennis Ananth

The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redundant, and noisy information present in web pages. Therefore, an automatic web page classification system becomes essential. Web page classification plays a crucial role in information management and retrieval tasks. Feature selection is a pivotal step in achieving accurate web page classification.Web pages typically contain a large number of features, which can adversely affect classification accuracy. The primary objective of the proposed research is to develop a hybrid feature selection approach that is not only efficient but also effective in automatically classifying web pages. This approach not only enhances classification accuracy but also aids web search tools in delivering relevant results within the appropriate category.

This item is not currently in-stock. It can be ordered online and is expected to ship in approx 2 weeks

Our stock data is updated periodically, and availability may change throughout the day for in-demand items. Please call the relevant shop for the most current stock information. Prices are subject to change without notice.

Sign in or become a Readings Member to add this title to a wishlist.