<会議発表論文>
Fast $q$-gram Mining on SLP Compressed Strings

作成者
本文言語
出版者
発行日
収録物名
出版タイプ
アクセス権
関連DOI
関連URI
関連情報
概要 We present simple and efficient algorithms for calculating q-gram frequencies on strings represented in compressed form, namely, as a straight line program (SLP). Given an SLP of size n that represent...s string T, we present an O(qn) time and space algorithm that computes the occurrence frequencies of all q-grams in T. Computational experiments show that our algorithm and its variation are practical for small q, actually running faster on various real string data, compared to algorithms that work on the uncompressed text. We also discuss applications in data mining and classification of string data, for which our algorithms can be useful.続きを見る

本文ファイル

pdf main pdf 144 KB 443  

詳細

レコードID
査読有無
登録日 2011.07.15
更新日 2020.12.15

この資料を見た人はこんな資料も見ています