Nawaz Mohamudally

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Intelligent agents are today accepted as powerful tools for data mining in a distributed environment. Artificial Intelligence (AI) algorithms are utilized to render software agents more intelligent. Knowledge discovery and data mining methods have been applied to discover hidden patterns and relations in complex datasets where clustering is one of the most(More)
Intelligent mobile agents are today accepted as powerful tools for data mining in a distributed environment. The use of data mining algorithms further beefs up the intelligence in software agents. Knowledge discovery and data mining algorithms are applied to discover hidden patterns and relations in complex datasets using intelligent agents. The distributed(More)
The pattern extraction and discovery of useful information from a dataset are the foremost purposes of data mining; the multiple attempts and strong beliefs in the development and the formulation of the unified data mining frameworks that would answer to the fundamental versions related to the discovery of knowledge. In this paper we are presenting a novel(More)
Clustering is a technique in data mining to find interesting patterns in a given dataset. A large dataset is grouped into clusters of smaller sets of similar data using k-means algorithm. Initial centroids are required as input parameters when using k-means clustering algorithm. There are different methods to choose initial centroids, from actual sample(More)
Network forensics technology with active and real time response characteristics is a new approach that can be used for investigation of network attack such as denial of service (DoS) attack. Once a system is compromised, the forensics and investigation is often always done after the attacks whereby some useful instant evidence is lost. The adaptive capture(More)