Analyzing and Visualizing Web Server Access Log File

Nguyen, Minh-Tri; Diep, Thanh-Dang; Vinh, Tran Hoang; Nakajima, Tatsuo; Thoai, Nam

doi:10.1007/978-3-030-03192-3_27

Cited by 8 publications

(11 citation statements)

References 11 publications

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“…While existing Web analytics studies 45,47,50‐55,127 provide a tactical approach to track key metrics, analyze visitors' activity and traffic flow, and generate reports, 45‐47 our study aligns with the position held by Kimball and Merz 127 of the immense value in clickstream analysis and reinforces the criticality of web content usage data mining process that could capture and accurately analyze the interactions between Web users and the sites they access. This information could dramatically improve an organization's understanding of its relationship with users, and radically improve the strategic knowledge of customer activities (motives and actions) and, thus, web content usage data mining is an indispensable technique for e‐commerce merchants, thereby adding to the body of knowledge in the domain.…”

Section: Review Of Related Literaturesupporting

confidence: 58%

“…In other words, web analytics is a technique used to collect, measure, report, and analyze website data in order to assess the performance of the website and optimize its usage with the ultimate goal of increasing the return on investment. Web analytics provides a tactical approach to track key metrics and analyze visitors' activity and traffic flow and generate reports 45‐47 . Thus, it is an indispensable technique for e‐commerce merchants.…”

Section: Review Of Related Literaturementioning

confidence: 99%

“…Nguyen et al 47 use web usage mining process to uncover interesting patterns in web server access log file gathered from Ho Chi Minh City University of Technology (HCMUT) in Vietnam. By incorporating attribute construction (or feature construction), one of strategies of data transformation of data pre‐processing technique, they had wide knowledge about users access patterns for every country, province and ISP.…”

Section: Review Of Related Literaturementioning

confidence: 99%

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Mining web content usage patterns of electronic commerce transactions for enhanced customer services

Ehikioya

Zeng

2021

Engineering Reports

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A successful business intelligence solution can help organizations improve the quality and speed of their decision‐making processes by analyzing the consolidated information collected from their websites. Using the current Web server log standard, which indicates only the locations of served Web pages, may lead to inaccurate business analysis for data driven and frequently updated static content Web pages. A properly defined Web content usage data warehouse that captures both dynamic and static contents of web pages provides rich data source for discovering interesting business rules among users' activities. This paper demonstrates the simplicity of data extract, transform and load procedures to import raw Web content usage log to various data models for data analysis, reporting and data mining tools. In this paper, we use two data mining techniques (expected maximization and the prefixspan algorithms) for visitor grouping and path analysis to find interesting patterns in Web content usage log data, an important component of e‐commerce Web sites traffic analysis. Visitor grouping uses data clustering to group visitors/sessions with similar selected attributes' value. Path analysis mines common visiting path sequence. The ultimate goal is to enable the online merchant provide enhanced and differentiated marketing services generally to its existing and potential customers and tell what items customers are interested in instead of ambiguous URLs.

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Section: Review Of Related Literaturesupporting

confidence: 58%

Section: Review Of Related Literaturementioning

confidence: 99%

Section: Review Of Related Literaturementioning

confidence: 99%

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Mining web content usage patterns of electronic commerce transactions for enhanced customer services

Ehikioya

Zeng

2021

Engineering Reports

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show abstract

“…In other words, web analytics is a technique used to collect, measure, report, and analyze website data in order to assess the performance of the website and optimize its usage with the ultimate goal of increasing the return on investment. Web analytics provide a tactical approach to track key metrics and analyze visitors' activity and traffic flow and generate reports [2][3][4]. Thus, it is an indispensable technique for e-commerce merchants.…”

Section: Review Of Related Literaturementioning

confidence: 99%

A Traffic Tracking Analysis Model for the Effective Management of E-commerce Transactions

Ehikioya¹,

Lu²

2020

IJNDC

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Many organizations now rely on the Web to conduct business. The increasing popularity of the Internet and e-commerce makes online merchants to constantly seek tools/mechanisms that would permit them to attract new and retain old customers. To achieve these two goals, a business should know, as much as possible, about its customers. Customers are the pivot of all businesses. When businesses lack knowledge of their customers, such businesses cannot efficiently develop their marketing activities.

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“…The CDN provider can use this information to set up their topology network and allocate cache servers at optimized locations. We use ideas from [16] to build a mapping database. In the first run, the information of the IP address will be requested from an online API [17].…”

Section: ) Geo-location Ip Address Mappingmentioning

confidence: 99%

A use case of Content Delivery Network raw log file analysis

Tran

et al. 2020

2020 International Conference on Advanced Computing and Applications (ACOMP)

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The growth of video streaming has stretched the Internet to its limitation. In other words, the Internet was originally devised to connect a limited number of computers so that they can share network resources, so the Internet cannot handle a large amount of traffic at a time, which leads to network congestion. To overcome this, CDNs are built on top of the Internet as an overlay to efficiently store and swiftly disseminate contents to users by placing many servers and data centers around the globe. The topic of CDNs has been extensively studied in the last several decades. However, there is still a certain gap between theories in academia and current technologies in industry. In this paper, we take a close look at the design, implementation, solution, and performance of a CDN system by analyzing its raw log files. Specifically, its infrastructure and system design are first presented, and then we conduct a tracebased study to understand user access patterns, the sources of requests, system performance, and how such information can be used to improve the whole CDN system.

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Analyzing and Visualizing Web Server Access Log File

Cited by 8 publications

References 11 publications

Mining web content usage patterns of electronic commerce transactions for enhanced customer services

Mining web content usage patterns of electronic commerce transactions for enhanced customer services

A Traffic Tracking Analysis Model for the Effective Management of E-commerce Transactions

A use case of Content Delivery Network raw log file analysis

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