Vangipuram Radhakrishna

Learn More
An accountable set of dynamic changes are happening on day to day basis in the software industry. So the change is the inevitable and heart of the software industry. Although many software processes and models, tools, standards exist and practices are set, still the industry is facing huge challenge in the design, build and reuse of software components,(More)
Clustering Software Components for efficient component retrieval is gaining a significant practical importance in the field of software engineering from academic researchers and software industry. Clustering reduces the search space of components by grouping similar entities together thus ensuring reduced time complexity. Finding software components for(More)
A Software Repository is a collection of library files and function codes. Programmers and Engineers design develop and build software libraries in a continuous process. Selecting suitable function code from one among many in the repository is quite challenging and cumbersome as we need to analyze semantic issues in function codes or components. Clustering(More)
The problem of mining frequent patterns in a static database is studied extensively in the literature by many researchers. Conventional frequent pattern algorithms are not applicable to find frequent patterns from the temporal database. Temporal database is a database which can store past, present and future information. A temporal relation may be viewed as(More)
The problem of mining frequent patterns in non-temporal databases is studied extensively. Conventional frequent pattern algorithms are not applicable to find temporal frequent items from the temporal databases. Given a reference support time sequence, the problem of mining similar temporal association patterns has been the current interest among the(More)
The problem of frequent pattern mining from non-temporal databases is studied extensively by various researchers working in areas of data mining, temporal databases and information retrieval. However, Conventional frequent pattern algorithms are not suitable to find similar temporal association patterns from temporal databases. A Temporal database is a(More)
In this paper, the major objective is to identify the intrusion using temporal pattern mining. The idea is to find the normal system call patterns and use these patterns to identify abnormal system call patterns. For finding the normal system calls we use the concept of association patterns and find the temporal association patterns. The reference sequence(More)
Clustering Transactions in sequence, temporal and time series databases is achieving an important attention from the database researchers and software industry. Significant research is carried out towards defining and validating the suitability of new similarity measures for sequence, temporal, time series databases which can accurately and efficiently find(More)