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Scientific and Statistical Database Management

Overview of attention for book
Cover of 'Scientific and Statistical Database Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Scientific Data Management Center: Providing Technologies for Large Scale Scientific Exploration
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    Chapter 2 Query Recommendations for Interactive Database Exploration
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    Chapter 3 Scientific Mashups: Runtime-Configurable Data Product Ensembles
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    Chapter 4 View Discovery in OLAP Databases through Statistical Combinatorial Optimization
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    Chapter 5 Designing a Geo-scientific Request Language - A Database Approach
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    Chapter 6 SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources
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    Chapter 7 Expressing OLAP Preferences
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    Chapter 8 Scientific and Statistical Database Management
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    Chapter 9 Scientific and Statistical Database Management
  11. Altmetric Badge
    Chapter 10 Finding Regions of Interest in Large Scientific Datasets
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    Chapter 11 Adaptive Physical Design for Curated Archives
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    Chapter 12 MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions
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    Chapter 13 B-Fabric: An Open Source Life Sciences Data Management System
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    Chapter 14 Design and Implementation of Metadata System in PetaShare
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    Chapter 15 Covariant Evolutionary Event Analysis for Base Interaction Prediction Using a Relational Database Management System for RNA
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    Chapter 16 What Makes Scientific Workflows Scientific?
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    Chapter 17 Enabling Ad Hoc Queries over Low-Level Scientific Data Sets
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    Chapter 18 Exploring Scientific Workflow Provenance Using Hybrid Queries over Nested Data and Lineage Graphs
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    Chapter 19 Data Integration with the DaltOn Framework – A Case Study
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    Chapter 20 Experiment Line: Software Reuse in Scientific Workflows
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    Chapter 21 Tracking Files in the Kepler Provenance Framework
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    Chapter 22 BioBrowsing: Making the Most of the Data Available in Entrez
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    Chapter 23 Using Workflow Medleys to Streamline Exploratory Tasks
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    Chapter 24 Experiences on Processing Spatial Data with MapReduce
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    Chapter 25 Optimization and Execution of Complex Scientific Queries over Uncorrelated Experimental Data
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    Chapter 26 Scientific and Statistical Database Management
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    Chapter 27 Efficient Evaluation of Generalized Tree-Pattern Queries with Same-Path Constraints
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    Chapter 28 Mode Aware Stream Query Processing
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    Chapter 29 Evaluating Reachability Queries over Path Collections
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    Chapter 30 Easing the Dimensionality Curse by Stretching Metric Spaces
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    Chapter 31 Probabilistic Similarity Search for Uncertain Time Series
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    Chapter 32 Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods
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    Chapter 33 Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation
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    Chapter 34 Cloud Computing for Science
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    Chapter 35 Classification with Unknown Classes
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    Chapter 36 HSM: Heterogeneous Subspace Mining in High Dimensional Data
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    Chapter 37 Split-Order Distance for Clustering and Classification Hierarchies
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    Chapter 38 Combining Multiple Interrelated Streams for Incremental Clustering
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    Chapter 39 Improving Relation Extraction by Exploiting Properties of the Target Relation
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    Chapter 40 Cor-Split: Defending Privacy in Data Re-publication from Historical Correlations and Compromised Tuples
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    Chapter 41 A Bipartite Graph Framework for Summarizing High-Dimensional Binary, Categorical and Numeric Data
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    Chapter 42 Region Extraction and Verification for Spatial and Spatio-temporal Databases
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    Chapter 43 Identifying the Most Endangered Objects from Spatial Datasets
  45. Altmetric Badge
    Chapter 44 Constraint-Based Learning of Distance Functions for Object Trajectories
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Scientific and Statistical Database Management
Published by
ADS, January 2009
DOI 10.1007/978-3-642-02279-1
ISBNs
978-3-64-202278-4, 978-3-64-202279-1
Editors

Marianne Winslett

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
United States 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 9%
Researcher 2 6%
Student > Master 1 3%
Student > Bachelor 1 3%
Unknown 25 78%
Readers by discipline Count As %
Computer Science 6 19%
Engineering 1 3%
Unknown 25 78%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 January 2023.
All research outputs
#6,652,626
of 23,509,253 outputs
Outputs from ADS
#8,264
of 38,155 outputs
Outputs of similar age
#42,162
of 172,013 outputs
Outputs of similar age from ADS
#247
of 913 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 38,155 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 913 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.