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Database and Expert Systems Applications

Overview of attention for book
Cover of 'Database and Expert Systems Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns
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    Chapter 2 ThespisDIIP: Distributed Integrity Invariant Preservation
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    Chapter 3 Privacy Issues for Cloud Systems
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    Chapter 4 Script Based Migration Toolkit for Cloud Computing Architecture in Building Scalable Investment Platforms
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    Chapter 5 Space-Adaptive and Workload-Aware Replication and Partitioning for Distributed RDF Triple Stores
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    Chapter 6 Performance Comparison of Three Spark-Based Implementations of Parallel Entity Resolution
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    Chapter 7 Big Data Analytics: Exploring Graphs with Optimized SQL Queries
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    Chapter 8 New Modeling Ideas for the Exact Solution of the Closest String Problem
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    Chapter 9 Ensemble Clustering Based Dimensional Reduction
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    Chapter 10 Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approaches
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    Chapter 11 Classifying Big DNA Methylation Data: A Gene-Oriented Approach
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    Chapter 12 Classifying Leukemia and Gout Patients with Neural Networks
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    Chapter 13 Incremental Wrapper Based Random Forest Gene Subset Selection for Tumor Discernment
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    Chapter 14 Protein Identification as a Suitable Application for Fast Data Architecture
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    Chapter 15 Mining Geometrical Motifs Co-occurrences in the CMS Dataset
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    Chapter 16 Suitable Overlapping Set Visualization Techniques and Their Application to Visualize Biclustering Results on Gene Expression Data
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    Chapter 17 Can We Quantify Domainhood? Exploring Measures to Assess Domain-Specificity in Web Corpora
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    Chapter 18 A Case Study of Closed-Domain Response Suggestion with Limited Training Data
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    Chapter 19 What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents
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    Chapter 20 Text-Based Annotation of Scientific Images Using Wikimedia Categories
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    Chapter 21 Detecting Link and Landing Page Misalignment in Marketing Emails
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    Chapter 22 Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses
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    Chapter 23 Investigating the Effect of Attributes on User Trust in Social Media
  25. Altmetric Badge
    Chapter 24 Analysing Author Self-citations in Computer Science Publications
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    Chapter 25 A Semantic-Based Personalized Information Retrieval Approach Using a Geo-Social User Profile
Attention for Chapter 22: Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Chapter title
Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses
Chapter number 22
Book title
Database and Expert Systems Applications
Published in
arXiv, September 2018
DOI 10.1007/978-3-319-99133-7_22
Book ISBNs
978-3-31-999132-0, 978-3-31-999133-7
Authors

Jukka Ruohonen, Ville Leppänen

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 4 100%

Demographic breakdown

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

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2018.
All research outputs
#9,231,240
of 15,077,865 outputs
Outputs from arXiv
#191,997
of 573,837 outputs
Outputs of similar age
#155,111
of 275,994 outputs
Outputs of similar age from arXiv
#10,664
of 23,682 outputs
Altmetric has tracked 15,077,865 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 573,837 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 61% 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 275,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,682 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.