Titlebook: String Processing and Information Retrieval; 22nd International S Costas Iliopoulos,Simon Puglisi,Emine Yilmaz Conference proceedings 2015

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书目名称String Processing and Information Retrieval影响因子(影响力)




书目名称String Processing and Information Retrieval影响因子(影响力)学科排名




书目名称String Processing and Information Retrieval网络公开度




书目名称String Processing and Information Retrieval网络公开度学科排名




书目名称String Processing and Information Retrieval被引频次




书目名称String Processing and Information Retrieval被引频次学科排名




书目名称String Processing and Information Retrieval年度引用




书目名称String Processing and Information Retrieval年度引用学科排名




书目名称String Processing and Information Retrieval读者反馈




书目名称String Processing and Information Retrieval读者反馈学科排名

aplomb

MURKY

Alberto Policriti,Nicola Prezzans als Studenten einer unserer Professoren mit auf den Weg. Der Satz geleitete mich durch mein Studium und blieb mir bis heute in Erinnerung, denn er bringt den Kern des Lernerfolgs auf den Punkt: Zuerst hören die Studierenden in der Vorlesung die fachlichen Inhalte, danach erst kommt der Hauptteil

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/879723.jpg

myocardium

https://doi.org/10.1007/978-3-319-23826-5algorithms; approximation algorithm; bioinformatics; data compression; databases; experimental evaluation

不愿

978-3-319-23825-8Springer International Publishing Switzerland 2015

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GROWL

Faster Exact Search Using Document Clustering,red .ocuments). We develop a fast multilevel clustering algorithm that uses query cost of conjunctive queries as an objective function. Depending on the inputs we get up to four times faster than non-clustered search. The resulting clusters are also useful for data compression and for distributing the work over many machines.

GUILT

Fast Online Lempel-Ziv Factorization in Compressed Space,an be computed in . bits of working space with an online algorithm running in . time. Previous space-efficient online solutions either work in compact space and . time, or in succinct space and . time.

neurologist

Efficient Algorithms for Longest Closed Factor Array, from its LCF array is easier than the construction and verification of this array. Moreover, the reconstructed string is unique. We improve also the time of construction/verification, reducing it from . (the best previously known) to .. We use connections between the LCF array and the longest previous/next factor arrays.