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Web Information Systems Engineering – WISE 2014

Overview of attention for book
Cover of 'Web Information Systems Engineering – WISE 2014'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Predicting Elections from Social Networks Based on Sub-event Detection and Sentiment Analysis
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    Chapter 2 Sonora: A Prescriptive Model for Message Authoring on Twitter
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    Chapter 3 A Fuzzy Model for Selecting Social Web Services
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    Chapter 4 Insights into Entity Name Evolution on Wikipedia
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    Chapter 5 Assessing the Credibility of Nodes on Multiple-Relational Social Networks
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    Chapter 6 Result Diversification for Tweet Search
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    Chapter 7 WikipEvent: Leveraging Wikipedia Edit History for Event Detection
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    Chapter 8 Feature Based Sentiment Analysis of Tweets in Multiple Languages
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    Chapter 9 Incorporating the Position of Sharing Action in Predicting Popular Videos in Online Social Networks
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    Chapter 10 An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networks
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    Chapter 11 A Framework for Linking Educational Medical Objects: Connecting Web2.0 and Traditional Education
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    Chapter 12 An Ensemble Model for Cross-Domain Polarity Classification on Twitter
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    Chapter 13 A Faceted Crawler for the Twitter Service
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    Chapter 14 Diversifying Microblog Posts
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    Chapter 15 MultiMasher: Providing Architectural Support and Visual Tools for Multi-device Mashups
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    Chapter 16 MindXpres: An Extensible Content-Driven Cross-Media Presentation Platform
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    Chapter 17 Open Cross-Document Linking and Browsing Based on a Visual Plug-in Architecture
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    Chapter 18 Cost-Based Join Algorithm Selection in Hadoop
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    Chapter 19 Consistent Freshness-Aware Caching for Multi-Object Requests
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    Chapter 20 ε - Controlled-Replicate : An Improved Controlled-Replicate Algorithm for Multi-way Spatial Join Processing on Map-Reduce
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    Chapter 21 REST as an Alternative to WSRF: A Comparison Based on the WS-Agreement Standard
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    Chapter 22 Enabling Cross-Platform Mobile Application Development: A Context-Aware Middleware
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    Chapter 23 GEAP: A Generic Approach to Predicting Workload Bursts for Web Hosted Events
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    Chapter 24 High-Payload Image-Hiding Scheme Based on Best-Block Matching and Multi-layered Syndrome-Trellis Codes
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    Chapter 25 Educational Forums at a Glance: Topic Extraction and Selection
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    Chapter 26 PDist-RIA Crawler: A Peer-to-Peer Distributed Crawler for Rich Internet Applications
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    Chapter 27 Understand the City Better: Multimodal Aspect-Opinion Summarization for Travel
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    Chapter 28 Event Processing over a Distributed JSON Store: Design and Performance
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    Chapter 29 Cleaning Environmental Sensing Data Streams Based on Individual Sensor Reliability
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    Chapter 30 Managing Incentives in Social Computing Systems with PRINGL
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    Chapter 31 Consumer Monitoring of Infrastructure Performance in a Public Cloud
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    Chapter 32 Business Export Orientation Detection through Web Content Analysis
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    Chapter 33 Towards Real Time Contextual Advertising
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    Chapter 34 On String Prioritization in Web-based User Interface Localization
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    Chapter 35 Affective, Linguistic and Topic Patterns in Online Autism Communities
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    Chapter 36 A Product-Customer Matching Framework for Web 2.0 Applications
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    Chapter 37 Rapid Development of Interactive Applications Based on Online Social Networks
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    Chapter 38 Introducing the Public Transport Domain to the Web of Data
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    Chapter 39 Measuring and Mitigating Product Data Inaccuracy in Online Retailing
  41. Altmetric Badge
    Chapter 40 WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics
  42. Altmetric Badge
    Chapter 41 Erratum: MultiMasher: Providing Architectural Support and Visual Tools for Multi-device Mashups
Attention for Chapter 40: WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics
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Chapter title
WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics
Chapter number 40
Book title
Web Information Systems Engineering – WISE 2014
Published in
Lecture notes in computer science, October 2014
DOI 10.1007/978-3-319-11746-1_40
Book ISBNs
978-3-31-911745-4, 978-3-31-911746-1
Authors

Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D’yakonov, Antti Puurula, Jesse Read, Jan Švec, Stanislav Semenov

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

Geographical breakdown

Country Count As %
United States 1 7%
China 1 7%
Czechia 1 7%
Unknown 12 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Other 2 13%
Student > Master 2 13%
Student > Postgraduate 2 13%
Professor 2 13%
Other 4 27%
Readers by discipline Count As %
Computer Science 10 67%
Mathematics 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Arts and Humanities 1 7%
Decision Sciences 1 7%
Other 0 0%
Attention Score in Context

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 13 October 2014.
All research outputs
#13,718,725
of 22,765,347 outputs
Outputs from Lecture notes in computer science
#4,125
of 8,125 outputs
Outputs of similar age
#126,426
of 256,317 outputs
Outputs of similar age from Lecture notes in computer science
#153
of 263 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% 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 256,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.