Sivakumar Ramakrishnan

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Evolutionary multi objective optimization (EMOO) systems are evolutionary systems which are used for optimizing various measures of the evolving system. Rule mining has gained attention in the knowledge discovery literature. The problem of discovering rules with specific properties is treated as a multi objective optimization problem. The objectives to be(More)
Since its introduction in the 1990s the internet has proliferated in the life of human kind in many numbers of ways. The two by-products of the internet are intelligent agents and intrusions which are far away from each other in the intention of their creation while similar in their characteristics. With automated code roaming the network intruding the(More)
Clustering is a popular data analysis and data mining technique. It is the unsupervised classification of patterns into groups. Many algorithms for large data sets have been proposed in the literature using different techniques. However, conventional algorithms have some shortcomings such as slowness of the convergence, sensitive to initial value and preset(More)
Ontologies are currently emerging as representation techniques for overlapping compatibility context domains. The continuing need for more effective information retrieval has lead to the creation of the notions of the semantic web and personalized information management. Subsequently, the need for effective ontology visualization for design, management and(More)
Cultural algorithms (CA) use social intelligence to solve problems in optimization. The CA is a class of evolutionary computational models inspired from observing the cultural evolutionary process in nature. Cultural algorithms employ a basic set of knowledge sources, each related to knowledge observed in various animal species. Knowledge from these sources(More)
Learning Management System (LMS) has been becoming an unavoidable component in virtual learning system. It offers various facilities to enrich the learning process in a virtual environment. However, it is understood that existing Learning Management Systems need to be extended with ubiquitous additional functionalities. Hence this paper proposes a framework(More)
Ontologies have been becoming popular knowledge representation methods very particularly for the areas of semantic web and smart environments. This paper focuses on design of "User Behaviour Ontologies" in Ambient Intelligence (Ami) environment using ontology creation tool. Sensors are installed in the environment so that users' behaviour will be sensed and(More)
Cultural algorithm is a kind of evolutionary algorithm inspired from societal evolution and is composed of a belief space, a population space and a protocol that enables exchange of knowledge between these sources. Knowledge created in the population space is accepted into the belief space while this collective knowledge from these sources is combined to(More)
Cultural algorithms (CA) are inspired from the cultural evolutionary process in nature and use social intelligence to solve problems. Cultural algorithms are composed of a belief space which uses different knowledge sources, a population space and a protocol that enables exchange of knowledge between these sources. Knowledge created in the population space(More)