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

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Jonathan Dimond,Peter Sanderss Buch auch S- dierenden anderer Hochschulen zur Verfügung zu stellen. Das didaktische Konzept des Buches ist so einfach wie sein Ziel: Es soll den Studierenden zu F?higkeiten und Rechentechniken verhelfen, die sie br- chen, um gute Klausuren im Fach Physik schreiben zu k?nnen. Dass sie damit das n?

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Efficient Term Set Prediction Using the Bell-Wigner Inequality,me of Apriori and the storage space of pattern tree-based algorithms such as FPGrowth. The empirical validation has been performed using some runs produced by IR systems from the TIPSTER test collection.

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Induced Sorting Suffixes in External Memory with Better Design and Less Space, space performance of these two programs are evaluated in comparison with eSAIS that is also implemented using STXXL. In our experiment, eSAIS runs the fastest for the input strings not larger than 16 GiB, but it is slower than SAIS-PQ+ for the only two input strings of 32 and 48.44 GiB. For the ave

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A Compact RDF Store Using Suffix Arrays,ch more robust and predictable query times around 1–2 microseconds per retrieved triple. . is 3 orders of magnitude faster than representations like MonetDB or RDF-3X, while using the same space as the former and 6 times less space than the latter. It is also faster than the more compact representat

Chemotherapy

Prefix and Suffix Reversals on Strings,“prefix reversals only” case and our case. The algorithmic results we obtain on these three problems depend on the size . of the alphabet on which the strings are built. In particular, we show that the grouping problem is in P for . and when ., where . is the length of the string. We also show that

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