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RPL Sample for Web Administrator
Our expert ICT writers have prepared this RPL Report Sample for the Web Administrator role. It has already been submitted to the Australian Computer Society (ACS) and received positive feedback. We recommend using this sample solely for reference purposes.
You can access the complete RPL report for the Web Administrator once you download the sample. This ACS RPL Report Sample consists of two main sections: Key Areas of Knowledge and the Project Report Forms. The Project Report Form for the ACS RPL includes specific requirements that must be fulfilled.
Key Areas of Knowledge:
As an applicant, you must clearly show how your work experience and education match the ACS Key Areas of Knowledge. Be specific about where, how, and in what context you gained this knowledge.
Sample ACS RPL Report for Web Administrator—Project 1:
“Mining Online Users’ Access Records for Web Business Intelligence”
Sample ACS RPL Report for Web Administrator– Project 2:
“Topic Detection Using Keyword Clustering”
Web Administrator Project 1
Project Name: “Mining Online Users’ Access Records for Web Business Intelligence”
This first RPL Project Report outlines a project titled “Mining Online Users’ Access Records for Web Business Intelligence,” undertaken by our client. During the course of this project, the client was responsible for the following key tasks:
Implementing an agent-based architecture to separate business intelligence and electronic customer relationship management (e-CRM) functions.
Monitoring and recording user access to the website.
Gathering, analyzing, and processing user data.
Enhancing business intelligence for website owners by offering more accurate insights compared to traditional log file analysis.
Extracting records with detailed navigation paths and unique user identifiers.
Web Administrator Project 2
Project Name: “Topic Detection Using Keyword Clustering”
The second RPL Project Report showcases our client’s work on the project titled “Topic Detection Using Keyword Clustering.” During this project, the client was responsible for carrying out the following tasks:
Selecting a suitable metric to achieve effective and meaningful clustering results.
Compiling a set of highly informative and relevant terms.
Identifying clusters of keywords that accurately represent specific topics.
Enhancing the user experience by simplifying the process of searching for topic-specific information on the web.
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