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Database Systems for Advanced Applications

Overview of attention for book
Cover of 'Database Systems for Advanced Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Knowledge on the Web: Robust and Scalable Harvesting of Entity-Relationship Facts
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    Chapter 2 Cloud Data Management @ Yahoo!
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    Chapter 3 Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks
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    Chapter 4 iDISQUE: Tuning High-Dimensional Similarity Queries in DHT Networks
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    Chapter 5 Adaptive Ensemble Classification in P2P Networks
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    Chapter 6 Mining Rare Association Rules in the Datasets with Widely Varying Items’ Frequencies
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    Chapter 7 CAMLS: A Constraint-Based Apriori Algorithm for Mining Long Sequences
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    Chapter 8 PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns
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    Chapter 9 Generalised Rule Mining
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    Chapter 10 Database Systems for Advanced Applications
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    Chapter 11 Effectively Inferring the Search-for Node Type in XML Keyword Search
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    Chapter 12 Database Systems for Advanced Applications
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    Chapter 13 NOVA: A Novel and Efficient Framework for Finding Subgraph Isomorphism Mappings in Large Graphs
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    Chapter 14 Efficiently Answering Probability Threshold-Based Shortest Path Queries over Uncertain Graphs
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    Chapter 15 Discovering Burst Areas in Fast Evolving Graphs
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    Chapter 16 Answering Top- k Similar Region Queries
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    Chapter 17 Efficient Approximate Visibility Query in Large Dynamic Environments
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    Chapter 18 The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases
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    Chapter 19 Efficient Algorithms to Monitor Continuous Constrained k Nearest Neighbor Queries
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    Chapter 20 Chasing Tree Patterns under Recursive DTDs
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    Chapter 21 Database Systems for Advanced Applications
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    Chapter 22 An Efficient Parallel PathStack Algorithm for Processing XML Twig Queries on Multi-core Systems
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    Chapter 23 Keyword Search on Hybrid XML-Relational Databases Using XRjoin
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    Chapter 24 Efficient Database-Driven Evaluation of Security Clearance for Federated Access Control of Dynamic XML Documents
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    Chapter 25 Speeding Up Complex Video Copy Detection Queries
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    Chapter 26 Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains
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    Chapter 27 A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm
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    Chapter 28 Detecting Leaders from Correlated Time Series
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    Chapter 29 Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
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    Chapter 30 Mining Diversity on Networks
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    Chapter 31 Mining Regular Patterns in Data Streams
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    Chapter 32 k-ARQ: k-Anonymous Ranking Queries
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    Chapter 33 QSQL: Incorporating Logic-Based Retrieval Conditions into SQL
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    Chapter 34 k -Selection Query over Uncertain Data
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    Chapter 35 Analysis of Implicit Relations on Wikipedia: Measuring Strength through Mining Elucidatory Objects
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    Chapter 36 Summarizing and Extracting Online Public Opinion from Blog Search Results
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    Chapter 37 Cloud as Virtual Databases: Bridging Private Databases and Web Services
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    Chapter 38 Temporal Top- k Search in Social Tagging Sites Using Multiple Social Networks
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    Chapter 39 Air-Indexing on Error Prone Communication Channels
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    Chapter 40 Content-Based Multipath Routing for Sensor Networks
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    Chapter 41 Evaluating Continuous Probabilistic Queries Over Imprecise Sensor Data
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    Chapter 42 Database Systems for Advanced Applications
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    Chapter 43 Active Duplicate Detection
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    Chapter 44 FlexTable: Using a Dynamic Relation Model to Store RDF Data
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    Chapter 45 An MDL Approach to Efficiently Discover Communities in Bipartite Network
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    Chapter 46 Fires on the Web: Towards Efficient Exploring Historical Web Graphs
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    Chapter 47 Identifying Community Structures in Networks with Seed Expansion
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    Chapter 48 Dynamic Agglomerative-Divisive Clustering of Clickthrough Data for Collaborative Web Search
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 (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

2 X users
7 Wikipedia pages


3 Dimensions

Readers on

4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Database Systems for Advanced Applications
Published by
ADS, April 2010
DOI 10.1007/978-3-642-12026-8
978-3-64-212025-1, 978-3-64-212026-8

Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing, Watanabe, Chiemi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Unknown 3 75%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 July 2023.
All research outputs
of 23,041,514 outputs
Outputs from ADS
of 37,451 outputs
Outputs of similar age
of 95,593 outputs
Outputs of similar age from ADS
of 385 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 95,593 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 69% of its contemporaries.
We're also able to compare this research output to 385 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.