Data Compression

Abstract :

It is very interesting that data can be compressed because it insinuates that information that we generally pass on to each other can be said in shorter information units (infos). Instead of saying Ëœyesâ„¢ a simple nod can do the same work, but by transmitting lesser data. In his 1948 paper, A Mathematical Theory of Communication, Shannon established that there is a fundamental limit to lossless data compression. This limit, called the entropy rate, is denoted by H. The exact value of H depends on the ....etc

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INTRODUCTION
1.1 Data Migration: - Data migration is the process of transferring data between storage types, formats, or computer systems. Data migration is usually performed programmatically to achieve an automated migration, freeing up human resources from tedious tasks. It is required when organizations or individuals change computer systems or upgrade to new systems, or when systems merge (such as when the organizations that use them undergo a merger or takeover). To achieve an effective data migration procedure, ....etc

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Introduction

Data compression is the process of converting an input data stream or the source stream or the original raw data into another data stream that has a smaller size. data compression is popular because of two reasons

1) People like to accumulate data and hate to throw anything away. No matter however large a storage device may be, sooner or later it is going to overflow. Data compression seems useful because it delays this inevitability
2) People hate to wait a long time for data transfer. There are many known methods of data ....etc

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XML is a popular meta-language that facilitates the interchange and access of data. However, XML's verbose nature tends to increase the size of a data file by as much as ten-fold. In this seminars, we give a brief introduction to data compression followed by a review of various compression strategies designed specifically for XML data. We then present two novel XML compression techniques, AXECHOP and TREECHOP. AXECHOP uses a grammar-based approach that exploits the significant structural redundancies within XML documents, while TREECHOP support ....etc

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