Titlebook: Combinatorial Pattern Matching; 17th Annual Symposiu Moshe Lewenstein,Gabriel Valiente Conference proceedings 2006 Springer-Verlag Berlin H

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書(shū)目名稱(chēng)Combinatorial Pattern Matching影響因子(影響力)




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書(shū)目名稱(chēng)Combinatorial Pattern Matching網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱(chēng)Combinatorial Pattern Matching讀者反饋




書(shū)目名稱(chēng)Combinatorial Pattern Matching讀者反饋學(xué)科排名

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Smart Computing and Communication costs open new directions and opportunities in the study of complex genetic disease such as cancer or Alzheimer’s disease. The datasets collected for these studies are DNA sequences, with some noise and ambiguous information..In this talk I will discuss some of the algorithmic issues of disambiguat

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Haibo Luo,Zhiqiang Ruan,Fanyong Chenence sets in a large corpus. Our algorithm involves three steps: morphological similarity detection, contextual similarity analysis, and clustering. Finally, we present experimental results on over large corpus of real news text to analyze the performance our techniques.

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Laizhong Cui,Yanli Luo,Genghui Li,Nan Luerted lists stored in sorted arrays and use variants of binary search. We show that a succinct representation of the binary relation permits much better results, while using space within a lower order term of the optimal. We apply our results not only to conjunctive queries on binary relations, but

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Xin Ren,Jiong Zhang,Ying Li,Jianwei Niuefficiently. We present a direct algorithm for the general RMQ-problem with linear preprocessing time and constant query time, without making use of any dynamic data structure. It consumes less than half of the space that is needed by the method by Berkman and Vishkin. We use our new algorithm for R

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