Shivasankari Kannan

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Machine Translation system accuracies are often brought down due to inaccurate Language Detection (LD) of input phrases. The Language detection accuracy is further affected when the inputs are short and contain ungram-matical phrases, especially in a multilingual mobile game setting. Chat messages in mobile games are often short as they are typed on mobile(More)
Mining of frequent patterns is a basic problem in data mining applications. Frequent Itemset Mining is considered to be an important research oriented task in data mining, due to its large applicability in real world applications. In this paper, a new Maximal Frequent Itemset mining algorithm with effective pruning mechanism is proposed. The proposed(More)
Power efficient multicast routing is one of the key issues in the field of mobile ad hoc networks. Multicasting is a term which refers to delivering data packets to a group of mobile nodes from an intended source. Quality of Service enlarges the support level of predictable performance for network systems. This research work focuses on design and(More)
Mining of frequent itemset plays important role in data mining applications. The algorithms which are used to generate the frequent patterns must perform efficiently. Because the overall performance of association rule mining based on fast discovery of frequent pattern. Many MFI approaches need to recursively construct many candidates, they also suffer the(More)
Mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate the frequent patterns must perform efficiently. The objective was to propose a new algorithm which generates maximal frequent patterns in less time. We proposed an algorithm which was based on Array technique and combines a vertical tidset(More)
Link Stability is a crucial factor in designing routing protocols for Mobile networks. Most of the routing strategies that supports for link stability are designed to meet some QoS constraints. Dynamic nature of nodes and the presence of stale information make this very difficult. In this work, we present a performance evaluation of some of the existing(More)
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