Exploring Web Mining for Tech Awareness: Analyzing Heterogeneous Online Sources

Shah Hussain Bangash; Irfanullah Khan; Waqas Ahmad; Asfandyar Ahmed; Zabih Ullah Khan

Author(s)

Shah Hussain Bangash Department of Computer Science, Iqra National University, Peshawar 25124, Pakistan

Irfanullah Khan Department of Computer Science, Iqra National University, Peshawar 25124, Pakistan

Waqas Ahmad Department of Computer Science, Iqra National University, Peshawar 25124, Pakistan

Asfandyar Ahmed Department of Computer Science, Iqra National University, Peshawar 25124, Pakistan

Zabih Ullah Khan Department of Computer Science, CECOS University of IT & Emerging Sciences, Peshawar 25124, Pakistan

Abstract

This proposed study focuses on utilizing web mining techniques to enhance technology awareness. It delves into diverse online sources, including HTML documents, images, and multimedia, to gain insights into technology updates and research issues. The methodology begins with an assessment of the number of firms with websites within the total population. Surveys are conducted to scrutinize web content, specifically examining firm characteristics and Uniform Resource Locators (URL) coverage. The study emphasizes identifying patterns in URLs to craft an effective search strategy. It also addresses the challenges encountered in web mining, particularly in the context of small firms. It investigates how web mining can drive innovation within firms and improve data analysis processes. Redirecting URLs in large-scale studies is given priority to ensure precise data access and mitigate errors. Furthermore, the study underscores the importance of web mining in managing web page content across firms of various sizes. This research study significantly contributes to augmenting technology awareness by conducting a comprehensive analysis of web mining techniques. It also addresses different technology updates and research issues encountered in various online sources, thereby advancing our understanding of the field and its implications for technological advancements.

Publication Details

Page(s) 168-179

DOI DOI not available

Published Journal: The Sciencetech, Volume: 5, Issue: 3, Year: 2024

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Keywords

Web Mining Techniques, Data Analysis Processes, Web Usage Mining, Web Scraping, Search Strategy, Web Content Mining

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