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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 Mining and Explaining Relationships in Wikipedia
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    Chapter 2 Publishing Time-Series Data under Preservation of Privacy and Distance Orders
  4. Altmetric Badge
    Chapter 3 Efficient Discovery of Generalized Sentinel Rules
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    Chapter 4 Compound Treatment of Chained Declustered Replicas Using a Parallel Btree for High Scalability and Availability
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    Chapter 5 Query Reuse Based Query Planning for Searches over the Deep Web
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    Chapter 6 Efficient Parallel Data Retrieval Protocols with MIMO Antennae for Data Broadcast in 4G Wireless Communications
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    Chapter 7 Inferring Aggregation Hierarchies for Integration of Data Marts
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    Chapter 8 Schema Design Alternatives for Multi-granular Data Warehousing
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    Chapter 9 An Agent Model of Business Relationships
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    Chapter 10 Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
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    Chapter 11 Minimum Spanning Tree on Spatio-Temporal Networks
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    Chapter 12 Real-Time Temporal Data Warehouse Cubing
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    Chapter 13 PAGER: Parameterless, Accurate, Generic, Efficient k NN-Based Regression
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    Chapter 14 B2R: An Algorithm for Converting Bayesian Networks to Sets of Rules
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    Chapter 15 Automatic Morphological Categorisation of Carbon Black Nano-aggregates
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    Chapter 16 Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases
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    Chapter 17 Lag Patterns in Time Series Databases
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    Chapter 18 An Efficient Computation of Frequent Queries in a Star Schema
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    Chapter 19 Evaluating Evidences for Keyword Query Disambiguation in Entity Centric Database Search
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    Chapter 20 Typicality Ranking of Images Using the Aspect Model
  22. Altmetric Badge
    Chapter 21 Plus One or Minus One: A Method to Browse from an Object to Another Object by Adding or Deleting an Element
  23. Altmetric Badge
    Chapter 22 Using Transactional Data from ERP Systems for Expert Finding
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    Chapter 23 A Retrieval Method for Earth Science Data Based on Integrated Use of Wikipedia and Domain Ontology
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    Chapter 24 Consistent Answers to Boolean Aggregate Queries under Aggregate Constraints
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    Chapter 25 Identifying Interesting Instances for Probabilistic Skylines
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    Chapter 26 GPU-WAH: Applying GPUs to Compressing Bitmap Indexes with Word Aligned Hybrid
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    Chapter 27 Containment of Conjunctive Queries with Negation: Algorithms and Experiments
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    Chapter 28 Ranking Objects Based on Attribute Value Correlation
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    Chapter 29 Efficiently Finding Similar Objects on Ontologies Using Earth Mover’s Distance
  31. Altmetric Badge
    Chapter 30 Towards a “More Declarative” XML Query Language
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    Chapter 31 Reducing Graph Matching to Tree Matching for XML Queries with ID References
  33. Altmetric Badge
    Chapter 32 Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms
  34. Altmetric Badge
    Chapter 33 An Efficient Similarity Join Algorithm with Cosine Similarity Predicate
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    Chapter 34 An Efficient Algorithm for Reverse Furthest Neighbors Query with Metric Index
  36. Altmetric Badge
    Chapter 35 A Scalable and Self-adapting Notification Framework
  37. Altmetric Badge
    Chapter 36 Enrichment of Raw Sensor Data to Enable High-Level Queries
  38. Altmetric Badge
    Chapter 37 Transductive Learning from Textual Data with Relevant Example Selection
  39. Altmetric Badge
    Chapter 38 A Discretization Algorithm for Uncertain Data
Attention for Chapter 3: Efficient Discovery of Generalized Sentinel Rules
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About this Attention Score

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

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Chapter title
Efficient Discovery of Generalized Sentinel Rules
Chapter number 3
Book title
Database and Expert Systems Applications
Published in
Lecture notes in computer science, August 2010
DOI 10.1007/978-3-642-15251-1_3
Book ISBNs
978-3-64-215250-4, 978-3-64-215251-1
Authors

Morten Middelfart, Torben Bach Pedersen, Jan Krogsgaard, Middelfart, Morten, Pedersen, Torben Bach, Krogsgaard, Jan

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 %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Other 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Economics, Econometrics and Finance 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2018.
All research outputs
#7,454,951
of 22,792,160 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#33,708
of 93,647 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 48 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 93,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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 50% of its contemporaries.