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Databases Theory and Applications

Overview of attention for book
Cover of 'Databases Theory and Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Finding Influencers in Temporal Social Networks Using Intervention Analysis
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    Chapter 2 Retrieving Top-k Famous Places in Location-Based Social Networks
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    Chapter 3 Comprehensive Graph and Content Feature Based User Profiling
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    Chapter 4 Efficient Maximum Closeness Centrality Group Identification
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    Chapter 5 Analyzing EEG Signal Data for Detection of Epileptic Seizure: Introducing Weight on Visibility Graph with Complex Network Feature
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    Chapter 6 Spatial Textual Top-k Search in Mobile Peer-to-Peer Networks
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    Chapter 7 Continuous Maximum Visibility Query for a Moving Target
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    Chapter 8 An Index-Based Method for Efficient Maximizing Range Sum Queries in Road Network
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    Chapter 9 Trip Planning Queries for Subgroups in Spatial Databases
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    Chapter 10 A Sketch-First Approach for Finding TSP
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    Chapter 11 Finding Least On-Road Travel Time on Road Network
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    Chapter 12 A Weighted K-AP Query Method for RSSI Based Indoor Positioning
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    Chapter 13 AutoCadroid: An Automated Tool for Building Smartphone Indoor Navigation System from AutoCad Files
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    Chapter 14 Integration of Probabilistic Information
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    Chapter 15 Top-k Dominance Range-Based Uncertain Queries
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    Chapter 16 Classification Based on Compressive Multivariate Time Series
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    Chapter 17 Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method
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    Chapter 18 Scalable and Fast Top-k Most Similar Trajectories Search Using MapReduce In-Memory
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    Chapter 19 Prescriptive Analytics for Big Data
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    Chapter 20 Topical Event Detection on Twitter
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    Chapter 21 A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews
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    Chapter 22 An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations
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    Chapter 23 Automatic Labelling of Topics via Analysis of User Summaries
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    Chapter 24 Content-Based Top-N Recommendation Using Heterogeneous Relations
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    Chapter 25 Exploring Data Mining Techniques in Medical Data Streams
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    Chapter 26 Using Detected Visual Objects to Index Video Database
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    Chapter 27 Virtual Samples Construction Using Image-Block-Stretching for Face Recognition
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    Chapter 28 XB+-Tree: A Novel Index for PCM/DRAM-Based Hybrid Memory
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    Chapter 29 Effective Order Preserving Estimation Method
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    Chapter 30 Joint Top-k Subscription Query Processing over Microblog Threads
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    Chapter 31 A Pattern-Based Framework for Addressing Data Representational Inconsistency
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    Chapter 32 Optimising Queue-Based Semi-stream Joins by Introducing a Queue of Frequent Pages
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    Chapter 33 Exploiting Hierarchies for Efficient Detection of Completeness in Stream Data
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    Chapter 34 Visualization-Aided Exploration of the Real Estate Data
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    Chapter 35 A Real Time System for Indoor Shortest Path Query with Indexed Indoor Datasets
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    Chapter 36 SKPS: Towards Efficient Processing of Spatial-Keyword Publish/Subscribe System
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    Chapter 37 A Peer to Peer Housing Rental System with Continuous Spatial-Keyword Searching
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    Chapter 38 SCHOLAT: An Innovative Academic Information Service Platform
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    Chapter 39 Data-Driven Prediction and Visualisation of Dynamic Bushfire Risks
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    Chapter 40 EDMS: A System for Efficient Processing Distance-Aware Influence Maximization
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    Chapter 41 Linking News and Tweets
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    Chapter 42 A Data-Packets-Saving Multi-agent Scheduling of Large Online Meetings
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    Chapter 43 A Classifier Hub for Imbalanced Financial Data
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    Chapter 44 ProvRPQ: An Interactive Tool for Provenance-Aware Regular Path Queries on RDF Graphs
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

2 tweeters

Readers on

33 Mendeley
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Databases Theory and Applications
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46922-5
978-3-31-946921-8, 978-3-31-946922-5

Muhammad Aamir Cheema, Wenjie Zhang, Lijun Chang


Muhammad Aamir Cheema, Wenjie Zhang, Lijun Chang

Twitter Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 3%
Unknown 32 97%
Readers by discipline Count As %
Unspecified 1 3%
Unknown 32 97%

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 20 October 2016.
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 11,352,729 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,173 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.