International Journal of Computer Science and Engineering

1-8

Authors: VIJAYPRAKASH & JAYARAJUPOREDDY

Interface is an application which provides facilities to programmer for software development such as code completing and fixing, source code editing and management, automated testing, etc. Software is rapidly moving from the desktop to the Web. The Web provides a generic user interface that allows ubiquitous access, instant collaboration, integration with other online services, and avoids installation and configuration on desktop computers. Moving interface to the Web is not just a matter of porting desktop interfaces, a fundamental reconsideration of the interface architecture is necessary in order to realize the full potential that the combination of modern Interfaces and the Web can offer. This paper discusses implementation of Web based interface environment for compilation and execution of codes written in different languages like C, C++, C#, Java languages. Users can edit, write, compile, debug and store their code on server. Users need not to spend their time for finding and installing an Interface for different languages. User can use Interface in any device like PC, tablet and mobile devices which has browser with internet connection. Web based interface can be used in low configuration systems also.

23-34

Authors: HIMANSHU M. SHAH1 & NAVNEETKAUR2

Frequent pattern mining is emerging and most interesting fields in Data mining. Application of Finding frequent item set is very wide like sensor network, web click stream data, and intrusion detection. A data stream is continuous, rapid, unbounded sequence of data. Mining Frequent pattern in stream data is very challenging because data can be scan one time only. Due to this reason traditional approach cannot be use for data stream. Frequent pattern mining generates enormous amount of frequent pattern. However producing all frequent pattern is not suitable. Finding only top- k pattern is more attractive whose utility is above a threshold. In addition considering weight factor with support is more realistic approach. Our algorithm finds can efficiently find potential top k high utility pattern and encompasses effective pruning mechanism. Our experiment results report that it outperforms previous algorithm in terms of runtime, memory usage.