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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 Tradeoffs between Parallel Database Systems, Hadoop, and HadoopDB as Platforms for Petabyte-Scale Analysis
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    Chapter 2 Emerging Trends and Converging Technologies in Data Intensive Scalable Computing
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    Chapter 3 Deriving Spatio-temporal Query Results in Sensor Networks
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    Chapter 4 Efficient and Adaptive Distributed Skyline Computation
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    Chapter 5 On the Efficient Construction of Multislices from Recurrences
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    Chapter 6 Optimizing Query Processing in Cache-Aware Wireless Sensor Networks
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    Chapter 7 Approximate Query Answering and Result Refinement on XML Data
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    Chapter 8 Efficient and Scalable Method for Processing Top-k Spatial Boolean Queries
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    Chapter 9 A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events
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    Chapter 10 Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences
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    Chapter 11 Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
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    Chapter 12 Database Design for High-Resolution LIDAR Topography Data
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    Chapter 13 PetaScope: An Open-Source Implementation of the OGC WCS Geo Service Standards Suite
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    Chapter 14 Towards Archaeo-informatics: Scientific Data Management for Archaeobiology
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    Chapter 15 DESSIN: Mining Dense Subgraph Patterns in a Single Graph
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    Chapter 16 Discovery of Evolving Convoys
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    Chapter 17 Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
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    Chapter 18 Identifying the Most Influential User Preference from an Assorted Collection
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    Chapter 19 MC-Tree: Improving Bayesian Anytime Classification
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    Chapter 20 Non-intrusive Quality Analysis of Monitoring Data
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    Chapter 21 Visual Decision Support for Ensemble Clustering
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    Chapter 22 An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching
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    Chapter 23 BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields
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    Chapter 24 Dynamic Data Reorganization for Energy Savings in Disk Storage Systems
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    Chapter 25 Organization of Data in Non-convex Spatial Domains
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    Chapter 26 PrefIndex: An Efficient Supergraph Containment Search Technique
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    Chapter 27 Supporting Web-Based Visual Exploration of Large-Scale Raster Geospatial Data Using Binned Min-Max Quadtree
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    Chapter 28 Bridging Workflow and Data Provenance Using Strong Links
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    Chapter 29 LIVE: A Lineage-Supported Versioned DBMS
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    Chapter 30 Optimizing Resource Allocation for Scientific Workflows Using Advance Reservations
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    Chapter 31 A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows
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    Chapter 32 Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data
  34. Altmetric Badge
    Chapter 33 Scientific and Statistical Database Management
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    Chapter 34 Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?
  36. Altmetric Badge
    Chapter 35 Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
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    Chapter 36 Prefix Tree Indexing for Similarity Search and Similarity Joins on Genomic Data
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    Chapter 37 Similarity Estimation Using Bayes Ensembles
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    Chapter 38 Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces
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    Chapter 39 Continuous Skyline Monitoring over Distributed Data Streams
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    Chapter 40 Propagation of Densities of Streaming Data within Query Graphs
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    Chapter 41 Spatio-temporal Event Stream Processing in Multimedia Communication Systems
  43. Altmetric Badge
    Chapter 42 Stratified Reservoir Sampling over Heterogeneous Data Streams
  44. Altmetric Badge
    Chapter 43 Tree Induction over Perennial Objects
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
38 X users
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Scientific and Statistical Database Management
Published by
ADS, January 2010
DOI 10.1007/978-3-642-13818-8
ISBNs
978-3-64-213817-1, 978-3-64-213818-8
Editors

Michael Gertz, Bertram Ludäscher

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 17%
Unknown 5 83%
Readers by discipline Count As %
Computer Science 1 17%
Unknown 5 83%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 26 May 2019.
All research outputs
#1,580,422
of 25,750,437 outputs
Outputs from ADS
#606
of 26,232 outputs
Outputs of similar age
#6,699
of 174,649 outputs
Outputs of similar age from ADS
#15
of 617 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,232 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 174,649 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 617 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.