3 research outputs found
REST-based Offline e-Mail System
Over the years the Internet has grown from a research tool to a worldwide communication medium. One of the applications that has grown up with the Internet is e-mail. e-Mail has become an indispensable tool for both corporations and individuals, and web-based e-mail systems have become very popular. However, a major problem with web-based email is we cannot access them when not connected to the Internet. We have built an off-line web-based e-mail system to overcome this issue, and to provide fast response even over slow connections. This system is based on Representational State Transfer (REST) and maintains HTML5 local storage to store mail and meta-data in the browser without installing any plug-ins. The system records all user actions locally and synchronizes with the server when connected to the Internet
An Episode-based approach to Identify Website user access patterns
Mining web access log data is a popular technique
to identify frequent access patterns of website users. There are
many mining techniques such as clustering, sequential pattern
mining and association rule mining to identify these frequent
access patterns. Each can find interesting access patterns and
group the users, but they cannot identify the slight differences
between accesses patterns included in individual clusters. But in
reality these could refer to important information about attacks.
This paper introduces a methodology to identify these access
patterns at a much lower level than what is provided by traditional
clustering techniques, such as nearest neighbour based techniques
and classification techniques. This technique makes use
of the concept of episodes to represent web sessions. These
episodes are expressed in the form of regular expressions. To the
best of our knowledge, this is the first time to apply the concept
of regular expressions to identify user access patterns in web
server log data. In addition to identifying frequent patterns, we
demonstrate that this technique is able to identify access patterns
that occur rarely, which would have been simply treated as noise
in traditional clustering mechanisms.INSTICC - Institute for Systems and Technologies of Information, Control and Communicatio
REST-based Offline e-Mail System
Over the years the Internet has grown from a research tool to a worldwide communication medium. One of the applications that has grown up with the Internet is e-mail. e-Mail has become an indispensable tool for both corporations and individuals, and web-based e-mail systems have become very popular. However, a major problem with web-based email is we cannot access them when not connected to the Internet. We have built an off-line web-based e-mail system to overcome this issue, and to provide fast response even over slow connections. This system is based on Representational State Transfer (REST) and maintains HTML5 local storage to store mail and meta-data in the browser without installing any plug-ins. The system records all user actions locally and synchronizes with the server when connected to the Internet