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Tam metin erişim sistemlerinde kelime tabanlı sıkıştırma

1995
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Advisor: Prof.dr. M. Akif Eyler

Abstract (EN)

ABSTRACT WORD-BASED COMPRESSION IN FULL-TEXT RETRIEVAL SYSTEMS Ali Ay dm Selçuk M.S. in Industrial Engineering Supervisor: Prof. M. Akif Eyler May, 1995 Large space requirement of a full-text retrieval system can be reduced sig nificantly by data compression. In this study, the problem of compressing the main text of a full-text retrieval system is addressed and performance of several coding techniques for compressing the text database is compared. Experiments show that statistical techniques, such as arithmetic coding and Huffman cod ing, give the best compression among the implemented; and using a semi-static word-based model, the space needed to store English text is less than one third of the original requirement. Key words: Full-text retrieval, Data compression. Text compression, Word- based model m

Author

Dr. Ali Aydın Selçuk

How to Cite

Ali Aydın Selçuk (Master Thesis). Tam metin erişim sistemlerinde kelime tabanlı sıkıştırma, 1995, Bilkent University, Endüstri Mühendisliği Bölümü.

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