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Databases in Networked Information Systems

Editat de Subhash Bhalla
en Limba Engleză Paperback – 22 mar 2005

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Specificații

ISBN-13: 9783540253617
ISBN-10: 3540253610
Pagini: 332
Ilustrații: X, 322 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Information Interchange and Management Systems.- Predictive Business Operations Management.- Conversation Quantization for Conversational Knowledge Process.- Wrapper Generation for Automatic Data Extraction from Large Web Sites.- Efficiently Coding and Querying XML Document.- An Interface for Web Based Access to Dynamic Contents.- HID: An Efficient Path Index for Complex XML Collections with Arbitrary Links.- Web Data Management Systems.- Integration of Virtual Reality and Database System Techniques.- From Multimedia to UniversalMedia.- The Multimedia Semantic Web.- Storing and Retrieving Multimedia Web Notes.- A Searching Method Based on Problem Description and Algorithmic Features.- Augmenting the Power of the Various Versions of LSI Used in Document Retrieval.- Networked Information Systems: Applications.- Networked Mining of Atomic and Molecular Data from Electronic Journal Databases on the Internet.- Development of a Data Mining Application for Huge Scale Earth Environmental Data Archives.- Design of Automation Systems for Web Based Courseware Using XML and XSLT.- Towards Open Education Through Distributed and Networked Information Systems – An Experience-Based Approach.- Exploring Web Logs with Coordinated OLAP Dimension Hierarchies.- Networked Information Systems: Implementations.- Policies, Models, and Languages for Access Control.- Modelling Peer-to-Peer Data Networks Under Complex System Theory.- Attribute-Based Access to Distributed Data over P2P Networks.- Governing the Contract Lifecycle: A Framework for Sequential Configuration of Loosely-Coupled Systems.- GridFS: Ensuring High-Speed Data Transfer Using Massively Parallel I/O.- Data Management Systems.- Improving Customer Experience via Text Mining.- A Distributed Algorithm for Outlier Detection in aLarge Database.- An Improved Approach to Extract Document Summaries Based on Popularity.

Caracteristici

Includes supplementary material: sn.pub/extras