An attractive way to increase text compression is to replace words with references to a text
dictionary given in advance. Although there exist a few works in this area, they do not fully …

This paper suggests a novel compression scheme for small text files. The proposed scheme
depends on Boolean minimization of binary data accompanied with the adoption of Burrows …

We propose an efficient method for compressing Vietnamese text using n‐gram dictionaries.
It has a significant compression ratio in comparison with those of state‐of‐the‐art methods …

We describe a novel Lempel-Ziv approach suitable for compressing structured documents,
called LZCS, which takes advantage of redundant information that can appear in the …

Computing the degree of closeness (similarity) between two sets of text documents is one of
the core operations in many text mining applications like text classification, clustering and …

We describe a compression model for semistructured documents, called Structural Contexts
Model (SCM), which takes advantage of the context information usually implicit in the …

This paper presents Edge-Guided (EG), an optimized text preprocessing technique for
compression purposes. It transforms the original text into a word net, which stores all …

A Comparison between applying two Techniques that compress document data in both
languages Arabic and English is introduced. In order to compress the data document, two or …

Abstract The authors describe Lempel‐Ziv to Compress Structure (LZCS), a novel Lempel–
Ziv approach suitable for compressing structured documents. LZCS takes advantage of …

Data compression means the route towards adjusting, encoding or changing the bit structure
of information so that it requires less space. The fundamental standard behind compression …