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The work presents a method to automatically summarize a text with the help of multivariate statistical technique. The method is subdivided into two phases namely the training and the testing phases. The goal of this approach is to design a summarizer which will perform the task very much like a human. We propose a training methodology where we train the system using manual summaries. The utilization...
Extracting specific information from a collection of documents is called information extraction (IE). In general, the information on the a Web is well structured in HTML or XML format. And the work of IE from structured documents (in HTML or XML), basically uses learning techniques for pattern matching in the content. In this paper, we have proposed a novel approach for interactive information extraction...
Of late in the field of Information Security, we have plenty of security tools which are made to protect the transmission of multimedia objects. But approaches for the security of text messages are comparatively less. In this paper, a security model is proposed which imposes the concept of secrecy over privacy for text messages. This model combines cryptography, steganography (taken as security layers)...
Proper preventive maintenance of complex systems, such as those used for power generation and medical diagnosis is dependent on the availability of their up-to-date reliability models. These models are constructed from historical maintenance and fault information of the equipment. Due to the complex nature of these machines, constructing these models involves significant manual effort which limits...
Aim of this work is to produce excellent accuracy with reduced feature set by a simple method. When the profile built using a feature selection method called MSNR (maximized signal to noise ratio) combined with modified fractional similarity method, it performs in a competitive manner. MSNR identifies the highly contributing features and increases the distance between the profiles. Experimental results...
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