Sanjeev Jagannatha Rao

Learn More
With the up rise of fourth paradigm, that is discovery of science over a prolonged period of time, scientific workflows commence to amend their status amongst innumerous science subject areas including physics, astronomy, biology, chemistry, earthquake science and many more. In Scientific workflows, a heavy volume of data processing is required and(More)
With the quick increment of web innovation, the malevolent exercises on the system are likewise expanding. So the utilization of a productive technique is must to distinguish the intrusion. Security for all systems is turning into a major issue. In this paper we compared the existing machine learning algorithms and proposed a new hybrid approach of(More)
INTRODUCTION The Diphyllobothrium genus belongs to the Diphyllobothridea order of tapeworms. Diphyllobothrium spp., which is commonly known as fish tapeworm, is generally transmitted in humans, but also in other species, such as bears, dogs, cats, foxes, and other terrestrial carnivores. Although worldwide in distribution, the original heartland of(More)
Authorship detection techniques are critical in several applications to prevent malicious users from masquerading as a different individual and exploiting the benefits of the false identity. For example, a malicious user can potentially affect the sale of a product by posting fake reviews of the product in the guise of an accomplished reviewer on a(More)
The problem of mining high quality frequent substructures from a large collection of semi-structured data has recently attracted a lot of research. There are various efficient algorithms available for discovering frequent substructures in a large structured data, where both of the patterns and the data are modeled by labeled unordered trees. In this paper,(More)
With the rapid increase of internet technology, the malicious activities on the network are also increasing. So the use of an efficient method is must to detect the intrusion. Security for all networks is becoming a big problem. In this paper we proposed hybrid approach of classifier with Adaptive boost with SVM RBF. I. INTRODUCTION With the growing threat(More)
  • 1