In today’s fast growing world we have analyzed distributed data sources publishing up to gigabytes of data each day, accumulating over the period of several months to the terabyte scale. This raises the challenge of how to efficiently store these distributed datasets, both in working caches for fast real-time access and archived forms which can be rein satiated for offline data analysis. In this paper, we have presented the processing services need to access several datasets at once to produce intelligent data fusion results, which are subsequently made available to decision makers in real-time. Since it is challenging to analyze all the results efficiently we have to make a solution of making the processing faster and more efficient. Here we are designing a method using Metatags to reduce the processing time and load of the existing systems. The metatags basically define the various attributes of data files and provide us options to access the files on the basis of selecting attributes. In proposed system light weight and heavy weight semantic is being separated on the basis of size. Above 10 are being added to heavy weight list and below 10 are added to light weight list.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786204201399
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786204201399
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9786204201399_new
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's fast growing world we have analyzed distributed data sources publishing up to gigabytes of data each day, accumulating over the period of several months to the terabyte scale. This raises the challenge of how to efficiently store these distributed datasets, both in working caches for fast real-time access and archived forms which can be rein satiated for offline data analysis. In this paper, we have presented the processing services need to access several datasets at once to produce intelligent data fusion results, which are subsequently made available to decision makers in real-time. Since it is challenging to analyze all the results efficiently we have to make a solution of making the processing faster and more efficient. Here we are designing a method using Metatags to reduce the processing time and load of the existing systems. The metatags basically define the various attributes of data files and provide us options to access the files on the basis of selecting attributes. In proposed system light weight and heavy weight semantic is being separated on the basis of size. Above 10 are being added to heavy weight list and below 10 are added to light weight list. 56 pp. Englisch. N° de réf. du vendeur 9786204201399
Quantité disponible : 2 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's fast growing world we have analyzed distributed data sources publishing up to gigabytes of data each day, accumulating over the period of several months to the terabyte scale. This raises the challenge of how to efficiently store these distributed datasets, both in working caches for fast real-time access and archived forms which can be rein satiated for offline data analysis. In this paper, we have presented the processing services need to access several datasets at once to produce intelligent data fusion results, which are subsequently made available to decision makers in real-time. Since it is challenging to analyze all the results efficiently we have to make a solution of making the processing faster and more efficient. Here we are designing a method using Metatags to reduce the processing time and load of the existing systems. The metatags basically define the various attributes of data files and provide us options to access the files on the basis of selecting attributes. In proposed system light weight and heavy weight semantic is being separated on the basis of size. Above 10 are being added to heavy weight list and below 10 are added to light weight list.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9786204201399
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's fast growing world we have analyzed distributed data sources publishing up to gigabytes of data each day, accumulating over the period of several months to the terabyte scale. This raises the challenge of how to efficiently store these distributed datasets, both in working caches for fast real-time access and archived forms which can be rein satiated for offline data analysis. In this paper, we have presented the processing services need to access several datasets at once to produce intelligent data fusion results, which are subsequently made available to decision makers in real-time. Since it is challenging to analyze all the results efficiently we have to make a solution of making the processing faster and more efficient. Here we are designing a method using Metatags to reduce the processing time and load of the existing systems. The metatags basically define the various attributes of data files and provide us options to access the files on the basis of selecting attributes. In proposed system light weight and heavy weight semantic is being separated on the basis of size. Above 10 are being added to heavy weight list and below 10 are added to light weight list. N° de réf. du vendeur 9786204201399
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Improvement of Healthcare Services using Metadata | Vijay Kumar Joshi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786204201399 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 130901679
Quantité disponible : 5 disponible(s)