A new compression algorithm for fast text search
نویسندگان
چکیده
منابع مشابه
Text Summarization Using Cuckoo Search Optimization Algorithm
Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...
متن کاملtext summarization using cuckoo search optimization algorithm
today, with rapid growth of the world wide web and creation of internet sites and online text resources, text summarization issue is highly attended by various researchers. extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. when, we are facing into large data volume documents, the extr...
متن کاملDictionary-Based Fast Transform for Text Compression
In this paper we present StarNT, a dictionary-based fast lossless text transform algorithm. With a static generic dictionary, StarNT achieves a superior compression ratio than almost all the other recent efforts based on BWT and PPM. This algorithm utilizes ternary search tree to expedite transform encoding. Experimental results show that the average compression time has improved by orders of m...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2016
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1407-178