This paper presents a novel method of representing a text document by the use of interval
valued symbolic features. A method of classification of text documents based on the …

In this paper, a simple and efficient symbolic text classification is presented. A text document
is represented by the use of interval valued symbolic features. Subsequently, a new feature …

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 …

Text document classification is a well known theme in the field of the information retrieval
and text mining. Selection of most desired features in the text document plays a vital role in …

In this paper we propose a new method of classifying text documents. Unlike conventional
vector space models, the proposed method preserves the sequence of term occurrence in a …

Document classification is usually more challenging than numerical data classification,
because it is much more difficult to effectively represent documents than numerical data for …

Training a system using a small number of instances to obtain accurate recognition/
classification is a crucial need in document classification domain. The one-class …

In this paper, we propose a new method of representing text documents based on clustering
of term frequency vectors. Term frequency vectors of each cluster are used to form a …

Text categorization is an important research area and has been receiving much attention
due to the growth of the on-line information and of Internet. Automated text categorization is …

In this paper, a model for classification of logos based on symbolic representation of features
is presented. The proposed model makes use of global features of logo images such as …