Browsing by Author "Punithavalli, M"

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EDUCATIONAL AUGMENTED REALITY WORKING METHODOLOGY OPPORTUNITIES AND APPS
(CRC Press, 2024-02-16) Amsaveni, R; Punithavalli, M
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PARTITION DOCUMENT CLUSTERING USING ONTOLOGY APPROACH
(IEEE, 2013-02-21) Punitha, S C; Jayasree, R; Punithavalli, M
Data mining is the extraction of hidden predictive information from large databases and it is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. In data mining there are two activities such as Classification and clustering [5]. Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. The creation and deployment of knowledge repositories for managing, sharing, and reusing tacit knowledge within an organization has emerged as a prevalent approach in current knowledge management practices.
PERFORMANCE EVALUATION OF SEMANTIC BASED AND ONTOLOGY BASED TEXT DOCUMENT CLUSTERING TECHNIQUES (Conference Paper)
(Elsevier Ltd, 2012) Punitha, S C; Punithavalli, M
The amount of digital information is created and used is steadily growing along with the development of sophisticated hardware and software. This has increased the need for powerful algorithms that can interpret and extract interesting knowledge from these data. Data mining is a technique that has been successfully exploited for this purpose. Text mining, a category of data mining, considers only digital documents or text. Text Clustering is the process of grouping text or documents such that the document in the same cluster are similar and are dissimilar from the one in other clusters. This paper studies the working of two sophisticated algorithms. The first work is a hybrid method that combines pattern recognition process with semantic driven methods for clustering documents, while the second uses an ontology-based approach to cluster documents. Through experiments, the performance of both the selected algorithms is analyzed in terms of clustering efficiency and speed of clustering.
PREDICTABLE MOBILITY-BASED ROUTING PROTOCOL IN WIRELESS SENSOR NETWORK
(Springer Link, 2021-03-28) Sophia Reena, G; Punithavalli, M
While considering the routing process in mobile wireless sensor network as the greatest complex task, it would get affected mainly based on mobility behavior of nodes. Successful routing ensures the increased network performance by sending packets without loss. This is confirmed in the previous research work by introducing the QoS-oriented distributed routing protocol (QOD) which measures the load level of channels before data transmission; thus, the successful packet transmission is ensured. However, this research method does not concentration prediction about mobility behavior which would cause the path breakage and network failure. It is completely determined in this proposed method by specifically presenting predictable mobility-based routing scheme (PMRS) in which successful data transmission can be guaranteed by avoiding the path breakage due to mobility. In this work, node movement will be predicted based on node direction and motion angles toward the destination node. By predicting the node mobility in the future, it is concluded that whether the node is nearest to the destination or not. Thus, the better route path can be established for deploying a successful data transmission. Based on node movement, the optimal cluster head would be selected, and thus, the shortest and reliable path can be achieved between source and destination nodes. In this work, cluster head selection is prepared by using the genetic algorithm, which can ensure the nodes reliable transmission without any node failure. Finally, data transmission is done through cluster head node by using time division multiple access (TDMA) method. The overall implementation of the proposed scheme is on the NS2, from which it is shown that this technique provides best possible result than the other recent schemes.