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Knowledge Management and Acquisition for Smart Systems and Services

Overview of attention for book
Cover of 'Knowledge Management and Acquisition for Smart Systems and Services'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Graph-Based Projection Approach for Semi-supervised Clustering
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    Chapter 2 Self-organisation in an Agent Network via Multiagent Q-Learning
  4. Altmetric Badge
    Chapter 3 Improving Trading Systems Using the RSI Financial Indicator and Neural Networks
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    Chapter 4 Balanced Student Partitioning to Promote Effective Learning: Applications in an International School
  6. Altmetric Badge
    Chapter 5 Laban-Based Motion Rendering for Emotional Expression of Human Form Robots
  7. Altmetric Badge
    Chapter 6 Self-supervised Mining of Human Activity from CGM
  8. Altmetric Badge
    Chapter 7 Knowledge Management and Acquisition for Smart Systems and Services
  9. Altmetric Badge
    Chapter 8 Business Intelligence for Delinquency Risk Management via Cox Regression
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    Chapter 9 An Ontology-Based Adaptive Learning System to Enhance Self-directed Learning
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    Chapter 10 Context-Aware Service Framework for Decision-Support Applications Using Ontology-Based Modeling
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    Chapter 11 Knowledge Management and Acquisition for Smart Systems and Services
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    Chapter 12 Another Investigation of an Interontologia between Chinese Lexical Systems and Roget’s Thesaurus
  14. Altmetric Badge
    Chapter 13 Knowledge Management and Acquisition for Smart Systems and Services
  15. Altmetric Badge
    Chapter 14 Incremental System Engineering Using Process Networks
  16. Altmetric Badge
    Chapter 15 RDRCE: Combining Machine Learning and Knowledge Acquisition
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    Chapter 16 Knowledge Management and Acquisition for Smart Systems and Services
  18. Altmetric Badge
    Chapter 17 The Ballarat Incremental Knowledge Engine
  19. Altmetric Badge
    Chapter 18 Finding Relation between PageRank and Voter Model
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    Chapter 19 Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network
  21. Altmetric Badge
    Chapter 20 Knowledge Management and Acquisition for Smart Systems and Services
  22. Altmetric Badge
    Chapter 21 Knowledge Management and Acquisition for Smart Systems and Services
  23. Altmetric Badge
    Chapter 22 Visualising Intellectual Structure of Ubiquitous Computing
  24. Altmetric Badge
    Chapter 23 Acquiring Expected Influence Curve from Single Diffusion Sequence
  25. Altmetric Badge
    Chapter 24 Knowledge Management and Acquisition for Smart Systems and Services
  26. Altmetric Badge
    Chapter 25 MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory
  27. Altmetric Badge
    Chapter 26 Efficient Bulk-Insertion for Content-Based Video Indexing
Attention for Chapter 17: The Ballarat Incremental Knowledge Engine
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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

Readers on

mendeley
7 Mendeley
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Chapter title
The Ballarat Incremental Knowledge Engine
Chapter number 17
Book title
Knowledge Management and Acquisition for Smart Systems and Services
Published in
Lecture notes in computer science, August 2010
DOI 10.1007/978-3-642-15037-1_17
Book ISBNs
978-3-64-215036-4, 978-3-64-215037-1
Authors

Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Computer Science 1 14%
Unknown 5 71%
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 27 September 2010.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#33,690
of 93,630 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 48 outputs
Altmetric has tracked 22,785,242 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 8,124 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 93,630 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.