Transactions on large-scale data and knowledge-centered systems. X, Special Issue on Database- and Expert-Systems Applications

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application developme...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awduron Eraill: Hameurlain, Abdelkader (Cyfarwyddwr cyhoeddi), Küng, Josef (Cyfarwyddwr cyhoeddi), Wagner, Roland (Cyfarwyddwr cyhoeddi), Liddle, Stephen W. (Cyfarwyddwr cyhoeddi), Schewe, Klaus-Dieter (Cyfarwyddwr cyhoeddi), Zhou, Xiaofang (Cyfarwyddwr cyhoeddi)
Fformat: Livre numérique
Iaith:Anglais
Cyhoeddwyd: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Cyfres:Transactions on Large-Scale Data- and Knowledge-Centered Systems 8220
Mynediad Ar-lein:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nodyn: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Transactions on Large-Scale Data- and Knowledge-Centered Systems X, Texte imprimé, 9783642412202
• Transactions on Large-Scale Data- and Knowledge-Centered Systems X, Texte imprimé, 9783642412226
Tabl Cynhwysion:
  • Stepwise Development of Formal Models for Web Services Compositions: Modelling and Property Verification
  • Computing Skyline Incrementally in Response to Online Preference Modification
  • The Finite Implication Problem for Expressive XML Keys: Foundations, Applications, and Performance Evaluation
  • ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying
  • A Declarative Approach to View Selection Modeling
  • A Framework for Modeling, Computing and Presenting Time-Aware Recommendations
  • Incremental Mining of Top-k Maximal Influential Paths in Network Data.