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ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES SCHOOL OF INFORMATION SCIENCE WEB USAGE PATTERN DISCOVERY: THE CASE OF ADDIS ABABA UNIVERSITY OFFICIAL Website ADELE ASTATINE DANE JUNE 2011 ADDIS
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How to fill out web usage pattern discovery:

01
First, gather all the necessary data related to web usage, such as web server logs, clickstream data, or user activity tracking data.
02
Analyze the collected data using web analytics tools or software specifically designed for pattern discovery. These tools can help identify recurring patterns, trends, or anomalies in user behavior.
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Apply statistical techniques or machine learning algorithms to identify patterns in the data. This could involve clustering similar user behaviors or using association rule mining to find common sequences of actions.
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Interpret the discovered patterns to gain insights into user preferences, navigation paths, or engagement levels. This can help optimize website design, content placement, or marketing strategies.
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Document the findings and recommendations from the web usage pattern discovery process. Share the insights with relevant stakeholders, such as web developers, marketing teams, or UX designers.

Who needs web usage pattern discovery:

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E-commerce companies: Web usage pattern discovery can help e-commerce companies understand customer behavior, identify popular products or services, optimize website layout, and improve sales and conversions.
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Digital marketers: By analyzing web usage patterns, digital marketers can identify effective marketing campaigns, track user engagement, personalize content, and target specific customer segments with relevant offerings.
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UX designers: Web usage pattern discovery provides valuable insights into user navigation patterns, preferences, and pain points. UX designers can leverage this information to create intuitive and user-friendly website experiences.
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Content creators: By understanding web usage patterns, content creators can identify popular topics, optimize content placement, and tailor their content strategy to better align with user interests and needs.
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Website administrators: Web usage pattern discovery can help website administrators identify security threats, detect abnormal user behavior, and optimize website performance and accessibility.
In summary, filling out web usage pattern discovery involves collecting and analyzing web usage data, applying statistical techniques, interpreting the patterns, and documenting the findings. Various stakeholders, such as e-commerce companies, digital marketers, UX designers, content creators, and website administrators, can benefit from web usage pattern discovery to improve their respective strategies and optimize user experiences.
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Web usage pattern discovery is the process of analyzing user behavior on a website to identify trends, preferences, and insights.
Website administrators or owners are typically required to file web usage pattern discovery.
Web usage pattern discovery can be filled out by collecting data on user interactions, analyzing the data, and documenting the findings.
The purpose of web usage pattern discovery is to improve the user experience, optimize website performance, and increase user engagement.
Information such as user demographics, page views, click-through rates, bounce rates, and conversion rates must be reported on web usage pattern discovery.
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