Filtering information framework for textual based information / Bujang Kelana Azme Ajor

Ajor, Bujang Kelana Azme (2005) Filtering information framework for textual based information / Bujang Kelana Azme Ajor. [Student Project] (Unpublished)


Nowadays, information becomes the crucial asset to everybody. If someone tries
to give irrelevant information, he or she will be charged or sued in court regarding on the
abusive information. Adults can make decision about what information they want to give
out, or what degree of tracking they want to allow in exchange for discounts or access to
certain sites. Young children are not likely to understand the risks and trade-offs. This
research will focus on the existing exchange board at the website which have applied
filtering information such as Leaning-base filtering framework. Rule-base filtering
framework, and Collaborative filtering fi^amework. As usual, there is much information
that will be shared with many people. To ensure that the information which is published
is suitable for people, filtering information framework is needed to filter out all the
information to avoid inappropriate people getting the message or information. Abuse
words are also being used widely at Internet. This is not good for children because they
will be influenced to do some criminal or expose in social problem. In getting a great
country, all these not need to happen. As solution, a filtering information framework is
needed to be embedding at the exchange board.


Item Type: Student Project
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Ajor, Bujang Kelana Azme
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Keywords: Filtering information framework, Internet, Base filtering framework, Rule-base filtering framework, Collaborative filtering framework
Date: 2005
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