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ACS RPL Sample for Web Administrator
Web Administrator - ANZSCO 313113
This ACS RPL Report Sample for Web Administrator is written by our Professional ICT Writers. The report is already submitted to ACS and has positive assessment as well. So, we request you to use this report sample as reference only. When you download this ACS RPL sample, you will have access to the complete RPL report for Web Administrator. This ACS RPL Report Sample for Web Administrator includes two sections: the Key Areas of Knowledge, and the Project Report Forms. The requirements of ACS RPL Project Report Form are:
The applicant must clearly explain how your experience and qualifications meet the selected Areas of Knowledge and specifically how and where you acquired the knowledge.
“Mining Online Users’ Access Records for Web Business Intelligence”
“Topic Detection Using Keyword Clustering”
ACS RPL Report Sample for Web Administrator – 1
Project name: “Mining Online Users’ Access Records for Web Business Intelligence”
In this first RPL Project Report, we had described the project of our client while he/she was working on “Mining Online Users’ Access Records for Web Business Intelligence”. The roles and responsibilities that the client had to follow and perform respectively during the course of this project were:
- To distribute the functions of e-CRM and business intelligence using an agent-architecture.
- To monitor users’ accesses on the website.
- To gather, analyze and manage the data.
- To provide better information than log-file analysis and give site owner more reliable business intelligence.
- To access records with unique user identification and exact navigated locations.
ACS RPL Report Sample for Web Administrator – 2
Project name: “Topic Detection Using Keyword Clustering”
In the second RPL Project Report, we had described the project of our client while he/she was working on “Topic Detection Using Keyword Clustering”. The roles and responsibilities that the client had to follow and perform respectively during the course of this project were:
- To find a measure that yields good clustering results.
- To extract a list of the most informative keywords.
- To identify clusters of keywords for which can be taken as the representation of a topic.
- To help the web users to easily search information for particular topic.
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