Transactions on Large-Scale Data- and Knowledge-Centered Systems II [recurso electrónico] / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Torben Bach Pedersen, A. Min Tjoa.

Por: Hameurlain, Abdelkader [editor.]Colaborador(es): Küng, Josef [editor.] | Wagner, Roland [editor.] | Bach Pedersen, Torben [editor.] | Tjoa, A. Min [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6380Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: XI, 141p. 65 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642161759Tema(s): Computer science | Data structures (Computer science) | Database management | Data mining | Information storage and retrieval systems | Information systems | Computer Science | Database Management | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl.Internet) | Data Structures | Data Storage RepresentationFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.74 Clasificación LoC:QA76.9.D3Recursos en línea: Libro electrónicoTexto
Contenidos:
Data Warehousing and Knowledge Discovery -- Discovery of Frequent Patterns in Transactional Data Streams -- Fast Loads and Queries -- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations -- Information Retrieval -- Improving Access to Large Patent Corpora -- Improving Retrievability and Recall by Automatic Corpus Partitioning.
En: Springer eBooksResumen: This special issue of TLDKS contains two kinds of papers. First, it contains a sel- th tion of the best papers from the 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to S- tember 2, 2009 in Linz, Austria. Second, it contains a special section of papers on a particularly challenging domain in information retrieval, namely patent retrieval. Over the last decade, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important international scientific events within data warehousing and knowledge discovery. DaWaK brings together a wide range of researchers and practitioners working on these topics. The DaWaK conference series thus serves as a leading forum for discu- th ing novel research results and experiences within the field. The 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009) cont- ued the tradition by disseminating and discussing innovative models, methods, al- rithms, and solutions to the challenges faced by data warehousing and knowledge discovery technologies.
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Colección de Libros Electrónicos QA76.9 .D3 (Browse shelf(Abre debajo)) 1 No para préstamo 375240-2001

Data Warehousing and Knowledge Discovery -- Discovery of Frequent Patterns in Transactional Data Streams -- Fast Loads and Queries -- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations -- Information Retrieval -- Improving Access to Large Patent Corpora -- Improving Retrievability and Recall by Automatic Corpus Partitioning.

This special issue of TLDKS contains two kinds of papers. First, it contains a sel- th tion of the best papers from the 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to S- tember 2, 2009 in Linz, Austria. Second, it contains a special section of papers on a particularly challenging domain in information retrieval, namely patent retrieval. Over the last decade, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important international scientific events within data warehousing and knowledge discovery. DaWaK brings together a wide range of researchers and practitioners working on these topics. The DaWaK conference series thus serves as a leading forum for discu- th ing novel research results and experiences within the field. The 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009) cont- ued the tradition by disseminating and discussing innovative models, methods, al- rithms, and solutions to the challenges faced by data warehousing and knowledge discovery technologies.

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