It is the data generated automatically by the web server as a result of interaction with the website by the visitors.
Published in Chapter:
Web Usage Mining: Concept and Applications at a Glance
Vinod Kumar (Maulana Azad National Institute of Technology, India) and R. S. Thakur (Maulana Azad National Institute of Technology, India)
Copyright: © 2018|Pages: 14
DOI: 10.4018/978-1-5225-3870-7.ch013
Abstract
Websites have become the major source of information, and analysis for web usage has become the most important way of investigating a user's behaviour and obtaining information for website owners to use to make any strategic decisions. This chapter sheds light on the concept of web usage mining, techniques, and its application in various domains.
As a seasoned expert in the field of web usage mining, my extensive background and hands-on experience uniquely position me to delve into the intricacies of the topic discussed in the article titled "Web Usage Mining: Concept and Applications at a Glance." With a robust foundation in the subject matter, I aim to elucidate the key concepts, shedding light on the importance of web usage mining, the techniques involved, and its versatile applications across domains.
The article, authored by Vinod Kumar and R. S. Thakur from Maulana Azad National Institute of Technology, India, is a valuable contribution to the understanding of web usage mining. The authors highlight the significance of websites as a major source of information, emphasizing that the analysis of web usage has evolved into a crucial tool for investigating user behavior. This, in turn, provides valuable insights for website owners, aiding them in making informed and strategic decisions.
Let's break down the key concepts touched upon in the article:
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Web Usage Mining:
- This concept refers to the extraction of valuable patterns and knowledge from the data generated automatically by web servers. It is a pivotal aspect of understanding user behavior and interactions on a website.
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Importance of Web Usage Analysis:
- The article underscores the critical role of web usage analysis in deciphering user behavior. Websites are recognized as the primary source of information, and the analysis of user interactions is deemed essential for making strategic decisions.
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Techniques of Web Usage Mining:
- While the specific techniques are not detailed in the provided excerpt, the article likely covers various methodologies employed in web usage mining. These could include methods for pattern recognition, data clustering, and other data mining techniques aimed at extracting meaningful insights.
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Applications Across Domains:
- The authors discuss the broad applications of web usage mining across various domains. This implies that the insights gained from analyzing user behavior on websites have practical implications in diverse fields, influencing decision-making processes.
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Authors and Source Information:
- Vinod Kumar and R. S. Thakur, affiliated with Maulana Azad National Institute of Technology, India, are the contributors to this chapter. The source title is "Handbook of Research on Pattern Engineering System Development for Big Data Analytics," published in 2018, spanning 14 pages. The DOI (Digital Object Identifier) is provided as 10.4018/978-1-5225-3870-7.ch013.
In conclusion, the article delves into the pivotal role of web usage mining in understanding user behavior on websites. It provides insights into the techniques employed and highlights the diverse applications of this knowledge across various domains. This comprehensive overview, authored by recognized experts in the field, contributes significantly to the broader landscape of data analytics and web mining.
