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Knowledge Management and Acquisition for Intelligent Systems

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

Table of Contents

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    Book Overview
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    Chapter 1 Constraints Dependent T-Way Test Suite Generation Using Harmony Search Strategy
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    Chapter 2 Evaluating Disaster Management Knowledge Model by Using a Frequency-Based Selection Technique
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    Chapter 3 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 4 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 5 User-Centric Recommendation-Based Approximate Information Retrieval from Marine Sensor Data
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    Chapter 6 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 7 Data Envelopment Analysis for Evaluating Knowledge Acquisition and Creation
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    Chapter 8 A High-Order Hidden Markov Model for Emotion Detection from Textual Data
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    Chapter 9 A Lazy Man’s Way to Part-of-Speech Tagging
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    Chapter 10 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 11 Extraction of How-to Type Question-Answering Sentences Using Query Sets
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    Chapter 12 Image Indexing and Retrieval with Pachinko Allocation Model: Application on Local and Global Features
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    Chapter 13 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 14 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 15 Ripple-Down Rules with Censored Production Rules
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    Chapter 16 RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques
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    Chapter 17 Planning Children’s Stories Using Agent Models
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    Chapter 18 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 19 Emergence of Personal Knowledge Management Processes within Multi-agent Roles
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    Chapter 20 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 21 Commonsense Knowledge Acquisition through Children’s Stories
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    Chapter 22 Externalizing Senses of Worth in Medical Service Based on Ontological Engineering
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    Chapter 23 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 24 Social Issue Gives You an Opportunity: Discovering the Personalised Relevance of Social Issues
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    Chapter 25 Identifying Important Factors for Future Contribution of Wikipedia Editors
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    Chapter 26 Network Analysis of Three Twitter Functions: Favorite, Follow and Mention
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    Chapter 27 User-Oriented Product Search Based on Consumer Values and Lifestyles
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    Chapter 28 Extracting Communities in Networks Based on Functional Properties of Nodes
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    Chapter 29 Revealing and Trending the Social Knowledge Studies
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    Chapter 30 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 31 Identifying Characteristics of Seaports for Environmental Benchmarks Based on Meta-learning
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    Chapter 32 A Situated Experiential Learning System Based on a Real-Time 3D Virtual Studio
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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Readers on

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65 Mendeley
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Title
Knowledge Management and Acquisition for Intelligent Systems
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-32541-0
ISBNs
978-3-64-232540-3, 978-3-64-232541-0
Authors

Deborah Richards, Byeong Ho Kang

Editors

Richards, Deborah, Kang, Byeong Ho

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

Geographical breakdown

Country Count As %
Slovakia 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 28%
Student > Ph. D. Student 14 22%
Researcher 5 8%
Student > Doctoral Student 5 8%
Student > Bachelor 3 5%
Other 8 12%
Unknown 12 18%
Readers by discipline Count As %
Computer Science 29 45%
Engineering 8 12%
Business, Management and Accounting 4 6%
Social Sciences 4 6%
Arts and Humanities 1 2%
Other 4 6%
Unknown 15 23%
Attention Score in Context

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 01 April 2013.
All research outputs
#15,359,595
of 22,849,304 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#163,705
of 244,619 outputs
Outputs of similar age from Lecture notes in computer science
#268
of 490 outputs
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So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 244,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.