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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 Target-Oriented Keyword Search over Temporal Databases
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    Chapter 2 General Purpose Index-Based Method for Efficient MaxRS Query
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    Chapter 3 An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks
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    Chapter 4 Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence
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    Chapter 5 More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds
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    Chapter 6 Mining Minimal High-Utility Itemsets
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    Chapter 7 Automated k-Anonymization and l-Diversity for Shared Data Privacy
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    Chapter 8 Context-Based Risk-Adaptive Security Model and Conflict Management
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    Chapter 9 Modeling Information Diffusion via Reputation Estimation
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    Chapter 10 Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrogram
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    Chapter 11 Hierarchically Clustered LSH for Hierarchical Outliers Detection
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    Chapter 12 Incorporating Clustering into Set Similarity Join Algorithms: The SjClust Framework
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    Chapter 13 “Overloaded!” — A Model-Based Approach to Database Stress Testing
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    Chapter 14 A Cost Model for DBaaS Storage
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    Chapter 15 A Query Processing Framework for Array-Based Computations
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    Chapter 16 Creative Expert System: Result of Inference and Machine Learning Integration
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    Chapter 17 A Reverse Nearest Neighbor Based Active Semi-supervised Learning Method for Multivariate Time Series Classification
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    Chapter 18 Leveraging Structural Hierarchy for Scalable Network Comparison
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    Chapter 19 Incremental Stream Processing of Nested-Relational Queries
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    Chapter 20 Incremental Continuous Query Processing over Streams and Relations with Isolation Guarantees
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    Chapter 21 An Improved Method of Keyword Search over Relational Data Streams by Aggressive Candidate Network Consolidation
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    Chapter 22 Evolutionary Database Design: Enhancing Data Abstraction Through Database Modularization to Achieve Graceful Schema Evolution
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    Chapter 23 Summary Generation for Temporal Extractions
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    Chapter 24 SuMGra: Querying Multigraphs via Efficient Indexing
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    Chapter 25 Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints
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    Chapter 26 A New Formal Approach to Semantic Parsing of Instructions and to File Manager Design
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    Chapter 27 Ontology-Based Deep Restricted Boltzmann Machine
Overall attention for this book and its chapters
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Mentioned by

twitter
3 X users

Readers on

mendeley
15 Mendeley
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Title
Database and Expert Systems Applications
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-44403-1
ISBNs
978-3-31-944402-4, 978-3-31-944403-1
Editors

Sven Hartmann, Hui Ma

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Researcher 3 20%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Computer Science 6 40%
Engineering 3 20%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 August 2016.
All research outputs
#17,008,464
of 24,998,746 outputs
Outputs from Lecture notes in computer science
#4,734
of 8,155 outputs
Outputs of similar age
#243,489
of 404,951 outputs
Outputs of similar age from Lecture notes in computer science
#384
of 581 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 404,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.