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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
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    Chapter 1 Academic Performance in a 3D Virtual Learning Environment: Different Learning Types vs. Different Class Types
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    Chapter 2 The Performance of Objective Functions for Clustering Categorical Data
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    Chapter 3 Modeling of Operating Photovoltaic Module Temperature Using Hybrid Cuckoo and Artificial Neural Network
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    Chapter 4 l p -norm Multiple Kernel Learning with Diversity of Classes
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    Chapter 5 Design of Technology Value Analysis System Based on Patent Big Data
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    Chapter 6 Knowledge Management and Acquisition for Smart Systems and Services
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    Chapter 7 Knowledge Management and Acquisition for Smart Systems and Services
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    Chapter 8 Knowledge Management and Acquisition for Smart Systems and Services
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    Chapter 9 Using a Domain Expert in Semi-supervised Learning
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    Chapter 10 Impacts of Linked URLs in Social Media
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    Chapter 11 Knowledge Management and Acquisition for Smart Systems and Services
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    Chapter 12 Utilizing Customers’ Purchase and Contract Renewal Details to Predict Defection in the Cloud Software Industry
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    Chapter 13 Multi-robot Coordination Based on Ontologies and Semantic Web Service
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    Chapter 14 Towards Management of the Data and Knowledge Needed for Port Integration: An Initial Ontology
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    Chapter 15 Cultivation Planning Application to Enhance Decision Making among Sri Lankan Farmers
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    Chapter 16 Extracting Conceptual Relations from Children’s Stories
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    Chapter 17 Interpreting Overlaps in Business Process Mapping via Organisational Soft Knowledge Flows
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    Chapter 18 Building a Vietnamese SentiWordNet Using Vietnamese Electronic Dictionary and String Kernel
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    Chapter 19 Estimating Network Structure from Anonymous Ego-centric Information
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    Chapter 20 Evolution Strategies with an RBM-Based Meta-Model
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    Chapter 21 A Comparison of Graph-Based and Statistical Metrics for Learning Domain Keywords
  23. Altmetric Badge
    Chapter 22 Using Generic and Generated Components to Create Static Software Analysis Tools Faster
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Knowledge Management and Acquisition for Smart Systems and Services
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-13332-4
ISBNs
978-3-31-913332-4, 978-3-31-913331-7
Authors

Yang Sok Kim, Byeong Ho Kang, Deborah Richards

Editors

Kim, Yang Sok, Kang, Byeong Ho, Richards, Deborah

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 8%
Unknown 11 92%
Readers by discipline Count As %
Decision Sciences 1 8%
Unknown 11 92%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2022.
All research outputs
#4,804,243
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#1,524
of 8,143 outputs
Outputs of similar age
#56,808
of 309,121 outputs
Outputs of similar age from Lecture notes in computer science
#77
of 280 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 81% 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 309,121 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 280 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 72% of its contemporaries.