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Mastering Web Mining and Information Retrieval in the Digital Age

Kijpokin Kasemsap

Source Title: Web Usage Mining Techniques and Applications Across Industries

ISBN13: 9781522506133|ISBN10: 1522506136|EISBN13: 9781522506140

DOI: 10.4018/978-1-5225-0613-3.ch001

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MLA

Kasemsap, Kijpokin. "Mastering Web Mining and Information Retrieval in the Digital Age." Web Usage Mining Techniques and Applications Across Industries, edited by A.V. Senthil Kumar, IGI Global, 2017, pp. 1-28. https://doi.org/10.4018/978-1-5225-0613-3.ch001

APA

Kasemsap, K. (2017). Mastering Web Mining and Information Retrieval in the Digital Age. In A. Kumar (Ed.), Web Usage Mining Techniques and Applications Across Industries (pp. 1-28). IGI Global. https://doi.org/10.4018/978-1-5225-0613-3.ch001

Chicago

Kasemsap, Kijpokin. "Mastering Web Mining and Information Retrieval in the Digital Age." In Web Usage Mining Techniques and Applications Across Industries, edited by A.V. Senthil Kumar, 1-28. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0613-3.ch001

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Abstract

This chapter aims to master web mining and Information Retrieval (IR) in the digital age, thus describing the overviews of web mining and web usage mining; the significance of web mining in the digital age; the overview of IR; the concept of Collaborative Information Retrieval (CIR); the evaluation of IR systems; and the significance of IR in the digital age. Web mining can contribute to the increase in profits by selling more products and by minimizing costs. Web mining is the application of data mining techniques to discover the interesting patterns from web data in order to better serve the needs of web-based multifaceted applications. Mining web data can improve the personalization, create the selling opportunities, and lead to more profitable relationships with customers in global business. Web mining techniques can be applied with the effective analysis of the clearly understood business needs and requirements. Web mining builds the detailed customer profiles based on the transactional data. Web mining is used to create the personalized search engines which can recognize the individuals' search queries by analyzing and profiling the web user's search behavior. IR is the process of obtaining relevant information from a collection of informational resources. IR has considerably changed with the expansion of the Internet and the advent of modern and inexpensive graphical user interfaces and mass storage devices. The effective IR system, including an active indexing system, not only decreases the chances that information will be misfiled but also expedites the retrieval of information. Regarding IR utilization, the resulting time-saving benefit increases office efficiency and productivity while decreasing stress and anxiety. Most IR systems provide the advanced searching capabilities that allow users to create the sophisticated queries. The chapter argues that applying web mining and IR has the potential to enhance organizational performance and reach strategic goals in the digital age.

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Mastering Web Mining and Information Retrieval in the Digital Age

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