Prabhavathi Perumal

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Document clustering is useful in many information retrieval tasks such as document browsing, organization and viewing of retrieval results. They are very much and currently the subject of significant global research. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. In this(More)
OAuth is an open security standard that enables users to provide specific and time bound rights to an application to access protected user resources, stored on some external resource server, without needing them to share their credentials, with the application. Using OAuth, a client application gets one access token for further use through an HTTP redirect(More)
Document clustering has been studied as a post retrieval document visualization technique to provide an intuitive navigation and browsing mechanism by organizing documents into groups and each group represents a different topic. The clustering techniques are based on four concepts: Data representation model, Similarity measure, Clustering model, and(More)
To find out the association between major plasma lactogenic hormones and milk constituents in mithun, milk samples were collected from 11 mithun cows of 2-6 parity from the day of calving till dry off. Various milk constituents were estimated as per standard method. Serum growth hormone (GH), prolactin, cortisol and thyroid hormones (triiodothyronine, T3(More)
Aim of the study was to treat and study the effect of heamatological and biochemical profiles on retention of placenta (ROP) in mithun. A Nagaland strain of mithun cow delivered a healthy live male calf normally, however the case was diagnosed as ROP when it failed to expel after 24 hours of parturition. The ROP was removed manually as per standard(More)
Document clustering is useful in many information retrieval operations such as document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of documents, etc. The general goal of clustering is to group data elements such that the intra-group similarities are high and the inter-group similarities are low. Generative(More)
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