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Database and Expert Systems Applications 21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings, Part II /

st We welcome you to the proceedings of the 21 International Conference on Database and Expert Systems Applications held in Bilbao. With information and database s- tems being a central topic of computer science, it was to be expected that the integ- tion of knowledge, information and data is today...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: García Bringas, Pablo (Editor ), Hameurlain, Abdelkader (Editor ), Quirchmayr, Gerald (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 6262
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Data Mining Systems
  • Mining and Explaining Relationships in Wikipedia
  • Publishing Time-Series Data under Preservation of Privacy and Distance Orders
  • Efficient Discovery of Generalized Sentinel Rules
  • Parallelism and Query Planning
  • Compound Treatment of Chained Declustered Replicas Using a Parallel Btree for High Scalability and Availability
  • Query Reuse Based Query Planning for Searches over the Deep Web
  • Efficient Parallel Data Retrieval Protocols with MIMO Antennae for Data Broadcast in 4G Wireless Communications
  • Data Warehousing and Decision Support Systems
  • Inferring Aggregation Hierarchies for Integration of Data Marts
  • Schema Design Alternatives for Multi-granular Data Warehousing
  • An Agent Model of Business Relationships
  • Temporal, Spatial and High Dimensional Databases (Short Papers)
  • Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
  • Minimum Spanning Tree on Spatio-Temporal Networks
  • Data Warehousing and Data Mining Algorithms (Short Papers)
  • Real-Time Temporal Data Warehouse Cubing
  • PAGER: Parameterless, Accurate, Generic, Efficient kNN-Based Regression
  • B2R: An Algorithm for Converting Bayesian Networks to Sets of Rules
  • Automatic Morphological Categorisation of Carbon Black Nano-aggregates
  • Data Mining Algorithms (I)
  • Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases
  • Lag Patterns in Time Series Databases
  • An Efficient Computation of Frequent Queries in a Star Schema
  • Information Retrieval and Database Systems (Short Papers)
  • Evaluating Evidences for Keyword Query Disambiguation in Entity Centric Database Search
  • Typicality Ranking of Images Using the Aspect Model
  • Plus One or Minus One: A Method to Browse from an Object to Another Object by Adding or Deleting an Element
  • Using Transactional Data from ERP Systems for Expert Finding
  • A Retrieval Method for Earth Science Data Based on Integrated Use of Wikipedia and Domain Ontology
  • Query Processing and Optimization
  • Consistent Answers to Boolean Aggregate Queries under Aggregate Constraints
  • Identifying Interesting Instances for Probabilistic Skylines
  • GPU-WAH: Applying GPUs to Compressing Bitmap Indexes with Word Aligned Hybrid
  • Containment of Conjunctive Queries with Negation: Algorithms and Experiments
  • Application of DB Systems, Similarity Search and XML
  • Ranking Objects Based on Attribute Value Correlation
  • Efficiently Finding Similar Objects on Ontologies Using Earth Mover's Distance
  • Towards a "More Declarative" XML Query Language
  • Reducing Graph Matching to Tree Matching for XML Queries with ID References
  • Data Mining Algorithms (II)
  • Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms
  • An Efficient Similarity Join Algorithm with Cosine Similarity Predicate
  • An Efficient Algorithm for Reverse Furthest Neighbors Query with Metric Index
  • Pervasive Data and Sensor Data Management (Short Papers)
  • A Scalable and Self-adapting Notification Framework
  • Enrichment of Raw Sensor Data to Enable High-Level Queries
  • Data Mining Algorithms (III)
  • Transductive Learning from Textual Data with Relevant Example Selection
  • A Discretization Algorithm for Uncertain Data.