Advances in Data Management

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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 & 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 & 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.

Author(s): Piotr Kołaczkowski, Henryk Rybiński (auth.), Zbigniew W. Ras, Agnieszka Dardzinska (eds.)
Series: Studies in Computational Intelligence 223
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Pages: 395
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Front Matter....Pages 1-1
Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space....Pages 3-24
Integrated Retrieval from Web of Documents and Data....Pages 25-48
Bipolar Queries: A Way to Enhance the Flexibility of Database Queries....Pages 49-66
On Deriving Data Summarization through Ontologies to Meet User Preferences....Pages 67-87
Granular Computing for Web Intelligence....Pages 89-102
Front Matter....Pages 103-103
Visualizing High Dimensional Classifier Performance Data....Pages 105-129
Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes....Pages 131-154
Converting between Various Sequence Representations....Pages 155-175
Considerations on Logical Calculi for Dealing with Knowledge in Data Mining....Pages 177-199
Front Matter....Pages 201-201
A Study on Recent Trends on Integration of Security Mechanisms....Pages 203-224
Monitoring-Based Approach for Privacy Data Management....Pages 225-247
Achieving Scalability with Schema-Less Databases....Pages 249-274
Front Matter....Pages 275-275
Managing Pervasive Environments through Database Principles: A Survey....Pages 277-298
Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network....Pages 299-310
Current Research Trends in Possibilistic Logic: Multiple Agent Reasoning, Preference Representation, and Uncertain Databases....Pages 311-330
Front Matter....Pages 331-331
Atherosclerosis Risk Assessment Using Rule-Based Approach....Pages 333-350
Interpretation of Imprecision in Medical Data....Pages 351-369
Promoting Diversity in Top Hits for Biomedical Passage Retrieval....Pages 371-393
Back Matter....Pages -