M. B. Revanasiddappa

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In this paper, we present symbolic classifiers to classify text documents. We propose to use cluster based symbolic representation followed by symbolic feature selection methods to classify text documents. In particular, we propose Symbolic clustering approaches; Symbolic cluster based without feature selection; Symbolic cluster based with feature selection(More)
Ciprofloxacin is an antibiotic generic drug that can treat a number of bacterial infections. It is a second generic fluoroquinolone. This work presents a simple, sensitive and stability indicative method for assay determination of drug substances ciprofloxacin hydrochloride by high pressure liquid chromatography (HPLC). Separation of impurities from the(More)
In this paper, we propose a novel text categorization method based on modified Support Vector Clustering (SVC). SVC is a density based clustering approach, which handles the arbitrary shape clusters effectively. The main drawback of traditional SVC is that it treats unclassified documents as outliers. To overcome this problem, we employed Fuzzy C-Means(More)
Feature selection is one of the well known solution to high dimensionality problem of text categorization. In text categorization, selection of good features (terms) plays a very important role. Feature selection is a strategy that can be used to improve categorization accuracy, effectiveness and computational efficiency. This paper presents an empirical(More)
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