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  • R. Visakh
  • 2012 12th International Conference on Intelligent…
  • 2012
Clustering is a predominant data mining task which attempts to partition a group of unlabelled data instances into distinct clusters. The clusters so obtained will have maximum intra-cluster similarity and minimum inter-cluster similarity. Several clustering techniques have been proposed in literature, which includes stand-alone as well as ensemble(More)
Data mining [1] is the compilation of techniques for the creative, automatic discovery of previously unknown, fitting, new, and understandable patterns that are present in large databases. Frequent pattern mining is considered as an important task in data mining. Patterns that occur frequently together in a data set can be regarded as a frequent pattern.(More)
Ad-hoc networks are infrastructure-less and without central administration control, minimal configuration and quick deployment make ad-hoc networks suitable for emergency situations like natural disasters or military conflicts. These applications require multicast data transmissions and the data has to be securely passed through the network to the intended(More)
BACKGROUND Identification of pathways that show significant difference in activity between disease and control samples have been an interesting topic of research for over a decade. Pathways so identified serve as potential indicators of aberrations in phenotype or a disease condition. Recently, epigenetic mechanisms such as DNA methylation are known to play(More)
Intrusions are a collection of connections that are made to a target system or network to access it and to comprehend its vulnerabilities for exploiting the target in a felonious manner. In the current scenario where networking between systems is inevitable, intrusion detection is of supreme priority as there has been a remarkable hike in the probability of(More)
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