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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 From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
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    Chapter 2 An Economical Query Cost Model in the Cloud
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    Chapter 3 BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture
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    Chapter 4 DNA Encoding for Splice Site Prediction in Large DNA Sequence
  6. Altmetric Badge
    Chapter 5 Using a Pipeline Approach to Build Data Cube for Large XML Data Streams
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    Chapter 6 A Study on MapReduce Processing for Multi-dimensional Continuous Query
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    Chapter 7 Measuring Proximity in a Graph of Spatial Data (ZIP Codes)
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    Chapter 8 An Efficient Data Access Method Exploiting Quadtrees on MapReduce Frameworks
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    Chapter 9 Optimized Adaptive Hybrid Indexing for In-memory Column Stores
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    Chapter 10 Influence Maximization Algorithm Using Markov Clustering
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    Chapter 11 An Approximate Approach for Batch Update of Common Preference Group
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    Chapter 12 A Probabilistic Approach for Events Identification from Social Media RSS Feeds
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    Chapter 13 A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering
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    Chapter 14 The Strategies for Supporting Query Specialization and Query Generalization in Social Tagging Systems
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    Chapter 15 Extracting Relations among Search Properties Based on the Operational Context of Geographical Information Retrieval Systems
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    Chapter 16 The Media Feature Analysis of Microblog Topics
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    Chapter 17 Web Service Based Algorithm Management Framework for Stream Data Processing
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    Chapter 18 Research on Petri Net and IDEF1X Based Production Scheduling Modeling Method
  20. Altmetric Badge
    Chapter 19 Product Feature Summarization by Incorporating Domain Information
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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Database Systems for Advanced Applications
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-40270-8
ISBNs
978-3-64-240269-2, 978-3-64-240270-8
Editors

Bonghee Hong, Xiaofeng Meng, Lei Chen, Werner Winiwarter, Wei Song

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 1 6%
Other 1 6%
Student > Bachelor 1 6%
Unknown 9 53%
Readers by discipline Count As %
Computer Science 5 29%
Business, Management and Accounting 1 6%
Economics, Econometrics and Finance 1 6%
Social Sciences 1 6%
Unknown 9 53%
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 05 September 2020.
All research outputs
#6,053,702
of 22,849,304 outputs
Outputs from Lecture notes in computer science
#1,993
of 8,126 outputs
Outputs of similar age
#64,332
of 281,217 outputs
Outputs of similar age from Lecture notes in computer science
#76
of 314 outputs
Altmetric has tracked 22,849,304 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 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 281,217 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.