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Advances in Data Management

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Cover of 'Advances in Data Management'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space
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    Chapter 2 Integrated Retrieval from Web of Documents and Data
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    Chapter 3 Bipolar Queries: A Way to Enhance the Flexibility of Database Queries
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    Chapter 4 On Deriving Data Summarization through Ontologies to Meet User Preferences
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    Chapter 5 Granular Computing for Web Intelligence
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    Chapter 6 Visualizing High Dimensional Classifier Performance Data
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    Chapter 7 Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes
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    Chapter 8 Converting between Various Sequence Representations
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    Chapter 9 Considerations on Logical Calculi for Dealing with Knowledge in Data Mining
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    Chapter 10 A Study on Recent Trends on Integration of Security Mechanisms
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    Chapter 11 Monitoring-Based Approach for Privacy Data Management
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    Chapter 12 Achieving Scalability with Schema-Less Databases
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    Chapter 13 Managing Pervasive Environments through Database Principles: A Survey
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    Chapter 14 Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network
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    Chapter 15 Current Research Trends in Possibilistic Logic: Multiple Agent Reasoning, Preference Representation, and Uncertain Databases
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    Chapter 16 Atherosclerosis Risk Assessment Using Rule-Based Approach
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    Chapter 17 Interpretation of Imprecision in Medical Data
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    Chapter 18 Promoting Diversity in Top Hits for Biomedical Passage Retrieval
Attention for Chapter 1: Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space
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Chapter title
Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space
Chapter number 1
Book title
Advances in Data Management
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-02190-9_1
Book ISBNs
978-3-64-202189-3, 978-3-64-202190-9
Authors

Piotr Kołaczkowski, Henryk Rybiński, Kołaczkowski, Piotr, Rybiński, Henryk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Researcher 1 11%
Student > Postgraduate 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 4 44%
Economics, Econometrics and Finance 1 11%
Unknown 4 44%