Advances in Data Management

Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances i...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ras, Zbigniew W. (Επιμελητής έκδοσης), Dardzinska, Agnieszka (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 223
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Information Retrieval and Web Intelligence
  • Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space
  • Integrated Retrieval from Web of Documents and Data
  • Bipolar Queries: A Way to Enhance the Flexibility of Database Queries
  • On Deriving Data Summarization through Ontologies to Meet User Preferences
  • Granular Computing for Web Intelligence
  • Knowledge Discovery
  • Visualizing High Dimensional Classifier Performance Data
  • Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes
  • Converting between Various Sequence Representations
  • Considerations on Logical Calculi for Dealing with Knowledge in Data Mining
  • Information Integration and Data Security
  • A Study on Recent Trends on Integration of Security Mechanisms
  • Monitoring-Based Approach for Privacy Data Management
  • Achieving Scalability with Schema-Less Databases
  • Intelligent Agents
  • Managing Pervasive Environments through Database Principles: A Survey
  • Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network
  • Current Research Trends in Possibilistic Logic: Multiple Agent Reasoning, Preference Representation, and Uncertain Databases
  • Data Management in Medical Domain
  • Atherosclerosis Risk Assessment Using Rule-Based Approach
  • Interpretation of Imprecision in Medical Data
  • Promoting Diversity in Top Hits for Biomedical Passage Retrieval.