Preprocessing: A Prerequisite for Discovering Patterns inWeb Usage Mining Process

Ramya, C.; Kavitha, G.; Shreedhara, K. S.

doi:10.7763/ijiee.2013.v3.297

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…[12] by learning customer preferences and product association from click stream have designed a personalized system. Author Ida [13] has also shown that this data can help significantly in improving search engine performance and moreover generate recommendations. Author Ford [14] has claimed targeted advertising to be an important application of Web Mining.…”

Section: Related Workmentioning

confidence: 99%

Analyzing Web Logs of an Astrological Website Using Key Influencers

Goel

Gupta²,

Jha

2015

IARS INT RES J

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With the growth of Internet, websites have become a dynamic tool in the market for every business to both acquire and service their customers. Online presence through websites has given them a global and wider reach. Good design and well management are the two key aspects of the effective website to catch the attention of visitors. Nowadays, the analysis and behavior of website visitors can be used to convert them into customers and serve them in a better way. This can be carried out on the weblogs which are generated as a result of userâ€™s access to a website. This paper aims to study the log files of an astrological website. An astrological website has not gained much attention in the internet community as people prefer going to the astrologers in person to resolve their problems. The log files of an astrology website were taken, preprocessed and analyzed using Analyze Key Influencers technique a feature of Microsoft SQL Server Data Mining Add-ins for Microsoft Office 2007. The information obtained can be used to enhance the effectiveness of the website.

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Section: Related Workmentioning

confidence: 99%

Analyzing Web Logs of an Astrological Website Using Key Influencers

Goel

Gupta²,

Jha

2015

IARS INT RES J

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“…While web content and structure mining rely on the actual or primary data available on the Web, web usage mining focuses on extracting secondary data derived from user interactions during their engagement with the Web. The web usage data encompasses information from various sources, such as web server access logs, browser logs, user profiles, registration data, user sessions or transactions, cookies, user queries, mouse clicks, scrolls and any other data resulting from user interactions (Ramya et al ., 2013). Web usage mining involves the automated identification and analysis of patterns within clickstreams and related data collected or generated through user interactions with web resources, typically hosted on a web server.…”

Section: Web Data Mining Approaches and Applicationsmentioning

confidence: 99%

Sharing economy from the sustainable development goals perspective: a path to global prosperity

Aref

2024

JIDE

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PurposeThe sharing economy, supported by digital platforms, efficiently matches the demand and supply of underused resources. Expanding globally and impacting different industries is offering a new path to sustainable resource consumption. The United Nations endorsed the sustainable development goals (SDGs), responding to a global call to end poverty, protect the environment and ensure that by 2030, everyone lives in peace and prosperity. Researchers have linked the sharing economy with SGDs, and extensive efforts have been exerted to quantify its impact.Design/methodology/approachDue to its evolving nature, especially in developing countries, there is a need for research to assess its promises and challenges from the SDG perspective. This research fills in this gap and contributes to the sharing economy studies by exploring its evolution within the framework of sustainable development goals, followed by an assessment of various methodologies for measuring the sharing economy and highlighting the significance of the web mining technique.FindingsThe proper implementation of this decentralized business model within a country is encouraging optimal resource use, lowering energy consumption and increasing long-term economic development. The sharing economy is a disruptive force that addresses the pillars of sustainability.Originality/valueThe research holds importance in addressing the achievement of the SDGs through the sharing economy, necessitating focus from policymakers and scholarly discourse on its merits. The transformative impact of the sharing economy poses questions about its encouragement or regulation, with the potential to disrupt established monopolies and possibly create new ones. Its successful implementation underscores the significance of effective data sharing and governance.

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“…Time taken while carrying out every step of data cleaning has been considered and shown with the help of a graph. Ramya et al [4] states that the objective of preprocessing of web logs are to reduce the quantity of data and enhance its quality. The proposed methodology includes merging of log files from different web servers along with data cleaning, user, session identification and data formatting and 978-1-4673-6911-4/15/$31.00©2015 IEEE summarization.…”

Section: Introductionmentioning

confidence: 99%

Preprocessing web logs: A critical phase in web usage mining

Goel

Jha

2015

2015 International Conference on Advances in Computer Engineering and Applications

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Web usage mining refers to finding out user access patterns from the web logs of a website. The web logs obtained are highly unstructured and this very nature of web logs makes them unsuitable for mining directly. Hence they go through a stage called preprocessing which not only makes them suitable for analysis but reduces the file size significantly. This paper explores this preprocessing phase in detail and proposes a total and absolute tool for the same which reduces the irrelevant and noisy data and transforms it into a form so that it can be readily used for analysis. The tool has been referred to as total and absolute as after cleaning the data it shows us a summary statistics of the records at the end once they have been preprocessed. The summary statistics highlights the number of records fed as input, elements obtained after carrying out preprocessing and the time utilized in accomplishing the task. Finally it exports the preprocessed data obtained into a .log file which can be very easily imported in any data mining utility. The features of summary statistics and export data can be considered as a distinguishing feature from the other tools which have been proposed earlier.

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Preprocessing: A Prerequisite for Discovering Patterns inWeb Usage Mining Process

Cited by 5 publications

References 10 publications

Analyzing Web Logs of an Astrological Website Using Key Influencers

Analyzing Web Logs of an Astrological Website Using Key Influencers

Sharing economy from the sustainable development goals perspective: a path to global prosperity

Preprocessing web logs: A critical phase in web usage mining

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