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Titlebook: String Processing and Information Retrieval; 16th International S Jussi Karlgren,Jorma Tarhio,Heikki Hyyrö Conference proceedings 2009 Spri

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On Entropy-Compressed Text Indexing in External Memoryality in pattern matching and hence is amenable to be used in external-memory settings. We improve upon this index and show how to apply entropy compression to reduce index space. Our index takes .(.(.. + 1)) + .(.log.) bits of space where .. is the .th-order empirical entropy of the text. This is a
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Efficient Index for Retrieving Top-, Most Frequent Documentsny documents will be outputted. We develop some additional building blocks which help the user overcome this limitation. These are used to derive an efficient index for top-. frequent document retrieval problem, answering queries in .(. + log. loglog. + .) time and taking .(.log.) space. Our approac
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Marjan Celikik,Hannah Bastt von anerkannten Ausbildungsinstituten und durch eine Expertenkommission mit renommierten Vertretern aller Therapieschulen geprüft. In der Neuauflage mit über 50 neuen Fragen und kommentierten Antworten!978-3-540-29729-1
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Wing-Kai Hon,Rahul Shah,Sharma V. Thankachan,Jeffrey Scott Vitter
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On-Line Construction of Parameterized Suffix Treess commit new codes into the repository day by day. We present an on-line algorithm which constructs a parameterized suffix tree in randomized .(.) time, where . is the length of the input string. Our algorithm is the first randomized linear time algorithm for the on-line construction problem.
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Compressed Suffix Arrays for Massive Dataion algorithm can be parallelized in a symmetric multiprocessor system, and discuss the possibility of a distributed implementation. We also describe a parallel implementation of the algorithm, capable of indexing several gigabytes per hour.
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