Open Source: Chat Engine

Today i uploaded the code and executable for the secure multi threaded chat & P2P client application that i developed using C# 1.1 as a university project for one of my friend on Google Code.

I have made this application as an open source so anyone interested can take the code and update it according to his/her needs.

You can download the application from here.

Drop an email @ basit.tanveer@gmail.com in case you wish to discuss it in detail.


The secure multi threaded chat server & P2P file transfer client supports following feature set:

-> Multi user Server

-> Chat Client

-> P2P File Transfer

-> Secure Communication {Diffie Hellman / AES (Rinjdael)}

-> Password based authentication

-> Access DB for users

-> Passwords are saved in hashed form in data base

-> A utility to hash the password

Hotmail shoots to 5 GB

Today while opening my hot mail account through web browser after such a long time instead of messenger, i noticed that my email size is now 5 GB and i am just using 1% of it. Yea thats true how can i use more then 1% of it when for all my communications i prefer Gmail... Gmail rocks!!

Webpage Screenshot Utility - IECapt

I come across a nice command line utility IECapt for capturing the IE rendering of a URL in the form of a screen shot, it support saving a web page into a BMP, JPEG or PNG image file.

The usage is quite simple:

IECapt {web URL} {image name along with path}

I find this utility quite handy, hope you would love it too.

A new look to my blog - back to blogging

{old template}

Same old routine along with same old template for my blog for such a longer period of time with no blogging, Not Acceptable now :). Today i updated my blog template and gave it a new look altogether.


Hope you guys will like it!

Interesting Measures for Mining Association Rules

Back in 2004 while studying Data Mining course by Mr. Liaquat Majeed Sheikh, during my BS at FAST-NU wrote a paper on the Interestingness of Different Measures in Data Mining which was presented in IEEE-INMIC 2004 and published in its proceedings.
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Abstract:

Discovering association rules is one of the most important tasks in data mining and many efficient algorithms were proposed in literature. However, the number of discovered rules is often so large, so the user cannot analyze all discovered rules. To overcome that problem several methods for mining interesting rules only have been proposed. Many measures have been proposed in literature to determine the interestingness of the rule. In this paper we have selected a total of eight different measures, we have compared these measures by using a data set, and we have made some recommendation about the use of the measures for discovering the most interesting rules.......

Complete paper