R. S. Ramya

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Data Mining is an automated extraction of hidden knowledge from large amount of data. The computational complexity of the data mining algorithms increases rapidly as the number of features in the dataset increases. Real world credit datasets have accumulated large quantities of information about clients and their financial and payment history. Feature(More)
Ontologies have become the best modeling tool, in many applications majorly semantic web. Creation of ontology remains as a difficult task. Ontology bootstrapping is one of the technique, depends on a set of pre-defined textual sources like web services. The advantage of web services usually consists of both WSDL and free text descriptors. And these are(More)
Data preprocessing plays an important role in data mining for ensuring better quality of data. The data being extracted from raw data will contain impurities, noisy data which leads to inefficient data analysis, inaccurate decisions and user inconveniencies. Data pre-processing tasks involves identifying the outliers, cleaning of noisy data. In this paper(More)
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