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

affidavit

書(shū)目名稱(chēng)String Processing and Information Retrieval影響因子(影響力)




書(shū)目名稱(chēng)String Processing and Information Retrieval影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)String Processing and Information Retrieval網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)String Processing and Information Retrieval網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)String Processing and Information Retrieval被引頻次




書(shū)目名稱(chēng)String Processing and Information Retrieval被引頻次學(xué)科排名




書(shū)目名稱(chēng)String Processing and Information Retrieval年度引用




書(shū)目名稱(chēng)String Processing and Information Retrieval年度引用學(xué)科排名




書(shū)目名稱(chēng)String Processing and Information Retrieval讀者反饋




書(shū)目名稱(chēng)String Processing and Information Retrieval讀者反饋學(xué)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 h?ren die Studierenden in der Vorlesung die fachlichen Inhalte, danach erst kommt der Hauptteil

obviate

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

完成才會(huì)征服

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.