Understanding search engines: mathematical modeling and text retrieval
Understanding search engines: mathematical modeling and text retrieval
Information Storage and Retrieval Systems: Theory and Implementation
Information Storage and Retrieval Systems: Theory and Implementation
Word-Based Compression Methods for Large Text Documents
DCC '99 Proceedings of the Conference on Data Compression
Index Compression through Document Reordering
DCC '02 Proceedings of the Data Compression Conference
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Several actions are usually performed when document is appended to textual database in information retrieval system. The most frequent actions are compression of the document and cluster analysis of the textual database to improve quality of answers to users' queries. The information retrieved from the clustering can be very helpful in compression. Word-based compression using information about cluster hierarchy is presented in this paper. Some experimental results are provided at the end of the paper.