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Advances in Data Management

Specificaties
Paperback, 395 blz. | Engels
Springer Berlin Heidelberg | 2009e druk, 2012
ISBN13: 9783642261077
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Springer Berlin Heidelberg 2009e druk, 2012 9783642261077
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Samenvatting

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 in hardware and computing techniques.

This volume focuses on its recent advances and it is composed of five parts and a total of eighteen chapters. The first part of the book contains five contributions in the area of information retrieval and Web intelligence: a novel approach to solving index selection problem, integrated retrieval from Web of documents and data, bipolarity in database querying, deriving data summarization through ontologies, and granular computing for Web intelligence. The second part of the book contains four contributions in knowledge discovery area. Its third part contains three contributions in information integration and data security area. The remaining two parts of the book contain six contributions in the area of intelligent agents and applications of data management in medical domain.

Specificaties

ISBN13:9783642261077
Taal:Engels
Bindwijze:paperback
Aantal pagina's:395
Uitgever:Springer Berlin Heidelberg
Druk:2009

Inhoudsopgave

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.

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