Identification of interested web users using decision tree classifier

• Main Authors: Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Jamil Ahmed, S. K., Nizamuddin, Mohammed Khaja
• Format: Book Chapter
• Language: English; English; English
• Published: Springer Nature Singapore 2021
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/89228/1/2021_Book_AdvancesInElectricalAndCompute-pages-153-166.pdf; http://irep.iium.edu.my/89228/13/89228%20-Identification%20of%20interested%20web%20users.pdf; http://irep.iium.edu.my/89228/19/89228_Identification%20of%20interested%20web%20users_Scopus.pdf; http://irep.iium.edu.my/89228/
• Institution: Universiti Islam Antarabangsa Malaysia

The development of the World Wide Web has evolved in an enormous volume of data; consequently, drawing out of useful knowledge is a demanding research issue. Use of data mining methods to the Web mentioned as Web mining. It goals at finding and extracting hidden knowledge from Web pages, and servic...