R. R. Rajalaxmi

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A new stream of research privacy preserving data mining emerged due to the recent advances in data mining, Internet and security technologies. Data sharing among organizations considered to be useful which offer mutual benefit for business growth. Preserving the privacy of shared data for clustering was considered as the most challenging problem. To(More)
People in today‟s world get affected by many diseases that do not have a complete cure. The development of one disease may lead to various other complications. One such disease is Type-2 Diabetes. It is a global health problem. This is the most common type of diabetes usually developed at the age of 40 and older. This increases the risk factors like kidney(More)
Semantic search has become a grand vision for improving retrieval effectiveness in today's scenario. Most of the existing ontology based semantic search models requires user to enter a query in formal query languages. It hinders the usability of the retrieval system. Aiming to solve the above limitations and improve the retrieval effectiveness, a framework(More)
Machine learning has been an effective support system in medical diagnosis which involve large amount of data. Analyzing such data consumes more time in terms of execution and resources. All data features do not support for the end results. Hence it is very important to identify the features that contribute more in identifying the diseases. Those with less(More)
Coronary Heart Disease (CHD) is a common form of disease affecting the heart and an important cause for premature death. From the point of view of medical sciences, data mining is involved in discovering various sorts of metabolic syndromes. Classification techniques in data mining play a significant role in prediction and data exploration. Classification(More)
430 Abstract— Information sharing among the organizations promotes business growth. Recent trends in data mining techniques impose an intimidation to data sharing. A key problem here is the need to balance the privacy of the data with the genuine need for the users. To address this problem, data sanitization process modifies the original data to conceal(More)
In Internet applications, due to the growth of big data with more features, intrusion detection has become a difficult process in terms of computational complexity, storage efficiency and getting optimized solutions of classification through existing sequential computing environment. Using a parallel computing model and a nature inspired feature selection(More)
Web contains millions and millions of documents and is useful for the users who want to search information regarding education, business, entertainment, healthcare, geography etc... Searching such information is easy using various search engines but searching relevant information is a challenging task. This can be achieved by query suggestion which aims to(More)