Data Integration in the Life Sciences 7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings Patrick Lambrix Taschenbuch Lecture Notes in Computer Science - Taschenbuch

2010, ISBN: 9783642151194

[ED: Taschenbuch], [PU: Springer Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous la… Mehr…

[ED: Taschenbuch], [PU: Springer Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25-27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegrationWeb servicesasanimportanttechn- ogy for data integration in the life sciences data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 215, [GW: 354g], Sofortüberweisung, PayPal, Banküberweisung<

Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00)

2010, ISBN: 9783642151194

[ED: Taschenbuch], [PU: Springer Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous la… Mehr…

[ED: Taschenbuch], [PU: Springer Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25-27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegrationWeb servicesasanimportanttechn- ogy for data integration in the life sciences data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 215, [GW: 354g], Sofortüberweisung, PayPal, Banküberweisung<

Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00)

2010

ISBN: 9783642151194

[ED: Softcover], [PU: Springer, Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous lar… Mehr…

[ED: Softcover], [PU: Springer, Berlin], The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25-27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegrationWeb servicesasanimportanttechn- ogy for data integration in the life sciences data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences. 2010. x, 215 S. 82 SW-Abb. Sofort lieferbar, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00)

2010, ISBN: 9783642151194

The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. … Mehr…

The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources, once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25-27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegration,Web servicesasanimportanttechn- ogy for data integration in the life sciences, data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities, and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Naturwissenschaften / Biologie, [PU: Springer, Berlin/Heidelberg/New York, NY]<

Nr. 7C0U5GDP0BH. Versandkosten:, Lieferzeit: 5 Tage, DE. (EUR 0.00)

2010, ISBN: 3642151191

Kartoniert / Broschiert Data Mining (EDV), Biowissenschaften, Life Sciences, Roboter - Robotik - Industrieroboter, Internet / Suchmethoden, Spezielle Anwender, Maschine / Suchmaschine, S… Mehr…

Kartoniert / Broschiert Data Mining (EDV), Biowissenschaften, Life Sciences, Roboter - Robotik - Industrieroboter, Internet / Suchmethoden, Spezielle Anwender, Maschine / Suchmaschine, Suchmaschine, Netzwerk (elektronisch), Data Warehouse, Informationsmanagement / Data Warehouse, Recherche - Information Retrieval, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Internet, Surfen (Internet), Biowissenschaften, allgemein, Internetrecherche, Suchmaschinen, Netzwerk-Hardware, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Künstliche Intelligenz, Wartung und Reparaturen, IT, Data Mining, Computernetzwerke und maschinelle Kommunikation, Internet, allgemein, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH; Springer Berlin]<

Versandkosten:Versandkostenfrei innerhalb der BRD. (EUR 0.00)