This paper presents a novel solution for the problem of building text classifier using positive documents (P) and unlabeled documents (U). Here, the unlabeled documents are mixed w...
This paper describes an investigation of authorship gender attribution mining from e-mail text documents. We used an extended set of predominantly topic content-free e-mail docume...
Malcolm Corney, Olivier Y. de Vel, Alison Anderson...
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...
In this paper we propose a novel approach to the detection of on-line handwritten text lines based on dynamic programming. We try to find the paths with the minimum cost between ...