Abstract: Opinions are essential for developing the services and facilities within the education domain. Students tend to express their opinions positively and negatively in the social network platform, such as Twitter and Facebook, toward various education universities. Collecting and analyzing those opinions will improve the overall education quality within the university’s campus. In this paper, results are presented for the collected and analyzed tweets using Bag of Words (BoW) and Word Sense Disambiguation (WSD) approaches. The results include, tweets distribution for the chosen Malaysian universities, opinion mining timeline to illustrate the student responsiveness against the timeline, and polarity classification for the university entities and objects. The figure results are produced using nodebox and matplot libraries for python.

• Publication Date: 07-Apr-2013
• DOI: 10.15224/978-981-07-5939-1-41
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Abstract: Online banking transactions have become one of the common daily tasks. Security is very important to accomplish these tasks. There are a lot of frauds and threats for online banking transactions that need to be studied, discovered and come out with the proposal of suitable solutions. It has been found that the main problem is in the connection channel between the end-user and the bank. Data compression and cryptography are integrated to be used for securing the online banking transactions efficiently. The two processes have different priorities. Security is the first priority for cryptography while decreasing the file size is thefirst priority for compression. This paper is going to review and address the current issues involving the online banking security by introducing the new Quick And Secure (QAS) process that has impacted and accelerated the online banking transactions and set the bar high for a new frontier encryption algorithm.

• Publication Date: 07-Apr-2013
• DOI: 10.15224/978-981-07-5939-1-42
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