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Principles of Distributed Data Management in 2020?

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Cover of 'Principles of Distributed Data Management in 2020?'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Principles of Distributed Data Management in 2020?
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    Chapter 2 The Science of Conceptual Modelling
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    Chapter 3 Probabilistic Logics in Expert Systems: Approaches, Implementations, and Applications
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    Chapter 4 Multi-objective Optimal Combination Queries
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    Chapter 5 NEFOS: Rapid Cache-Aware Range Query Processing with Probabilistic Guarantees
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    Chapter 6 Reuse-Oriented Mapping Discovery for Meta-querier Customization
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    Chapter 7 Attribute Grammar for XML Integrity Constraint Validation
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    Chapter 8 Extracting Temporal Equivalence Relationships among Keywords from Time-Stamped Documents
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    Chapter 9 Codd Table Representations under Weak Possible World Semantics
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    Chapter 10 Efficient Early Top- k Query Processing in Overloaded P2P Systems
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    Chapter 11 Top- k Query Evaluation in Sensor Networks with the Guaranteed Accuracy of Query Results
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    Chapter 12 Learning Top-k Transformation Rules
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    Chapter 13 Privacy beyond Single Sensitive Attribute
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    Chapter 14 Privacy-Aware DaaS Services Composition
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    Chapter 15 An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities
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    Chapter 16 Similar Subsequence Search in Time Series Databases
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    Chapter 17 Optimizing Predictive Queries on Moving Objects under Road-Network Constraints
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    Chapter 18 Real-Time Capable Data Management Architecture for Database-Driven 3D Simulation Systems
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    Chapter 19 Collecting and Managing Network-Matched Trajectories of Moving Objects in Databases
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    Chapter 20 On Guaranteeing k-Anonymity in Location Databases
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    Chapter 21 Smeagol: A “Specific-to-General” Semantic Web Query Interface Paradigm for Novices
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    Chapter 22 Browsing-Oriented Semantic Faceted Search
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    Chapter 23 An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution
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    Chapter 24 Sampling the National Deep Web
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    Chapter 25 A Bipartite Graph Model and Mutually Reinforcing Analysis for Review Sites
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    Chapter 26 Genetic Algorithm for Finding Cluster Hierarchies
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    Chapter 27 A File Search Method Based on Intertask Relationships Derived from Access Frequency and RMC Operations on Files
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    Chapter 28 A General Top-k Algorithm for Web Data Sources
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    Chapter 29 Improving the Quality of Web Archives through the Importance of Changes
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    Chapter 30 Alternative Query Generation for XML Keyword Search and Its Optimization
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    Chapter 31 K-Graphs: Selecting Top-k Data Sources for XML Keyword Queries
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    Chapter 32 Detecting Economic Events Using a Semantics-Based Pipeline
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    Chapter 33 Edit Distance between XML and Probabilistic XML Documents
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    Chapter 34 Towards an Automatic Characterization of Criteria
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    Chapter 35 A Theoretical and Experimental Comparison of Algorithms for the Containment of Conjunctive Queries with Negation
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    Chapter 36 Data Integration over NoSQL Stores Using Access Path Based Mappings
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    Chapter 37 An Energy-Efficient Concurrency Control Algorithm for Mobile Ad-Hoc Network Databases
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    Chapter 38 An Ontology-Based Method for Duplicate Detection in Web Data Tables
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    Chapter 39 Approaches for Semantically Annotating and Discovering Scientific Observational Data
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    Chapter 40 A Scalable Tag-Based Recommender System for New Users of the Social Web
Attention for Chapter 24: Sampling the National Deep Web
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Chapter title
Sampling the National Deep Web
Chapter number 24
Book title
Database and Expert Systems Applications
Published by
Springer Berlin Heidelberg, August 2011
DOI 10.1007/978-3-642-23088-2_24
Book ISBNs
978-3-64-223087-5, 978-3-64-223088-2
Authors

Denis Shestakov, Shestakov, Denis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Finland 1 5%
Greece 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Postgraduate 3 14%
Other 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Other 8 38%
Readers by discipline Count As %
Computer Science 15 71%
Social Sciences 4 19%
Business, Management and Accounting 1 5%
Arts and Humanities 1 5%