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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Overview of attention for book
Cover of 'Knowledge Engineering, Machine Learning and Lattice Computing with Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Investigation of Random Subspace and Random Forest Regression Models Using Data with Injected Noise
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    Chapter 2 A Genetic Algorithm vs. Local Search Methods for Solving the Orienteering Problem in Large Networks
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    Chapter 3 Dynamic Structure of Volterra-Wiener Filter for Reference Signal Cancellation in Passive Radar
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    Chapter 4 A Web Browsing Cognitive Model
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    Chapter 5 Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches
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    Chapter 6 Set-Based Detection and Isolation of Intersampled Delays and Pocket Dropouts in Networked Control
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    Chapter 7 Analysis and Synthesis of the System for Processing of Sign Language Gestures and Translatation of Mimic Subcode in Communication with Deaf People
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    Chapter 8 Prediction of Software Quality Based on Variables from the Development Process
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    Chapter 9 Mining High Performance Managers Based on the Results of Psychological Tests
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    Chapter 10 Semantics Preservation in Schema Mappings within Data Exchange Systems
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    Chapter 11 Multi-Relational Learning for Recommendation of Matches between Semantic Structures
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    Chapter 12 Semantically Enhanced Text Stemmer (SETS) for Cross-Domain Document Clustering
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    Chapter 13 Ontology Recomposition
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    Chapter 14 Structured Construction of Knowledge Repositories with MetaConcept
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    Chapter 15 Association between Teleology and Knowledge Mapping
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    Chapter 16 Boosting Retrieval of Digital Spoken Content
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    Chapter 17 Constructing the Integral OLAP-Model for Scientific Activities Based on FCA
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    Chapter 18 Reasoning about Dialogical Strategies
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    Chapter 19 Low–Cost Computer Vision Based Automatic Scoring of Shooting Targets
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    Chapter 20 Using bookmaker odds to predict the final result of football matches
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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Title
Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37343-5
ISBNs
978-3-64-237342-8, 978-3-64-237343-5
Authors

Manuel Graña, Carlos Toro, Robert J. Howlett, Lakhmi C. Jain

Editors

Graña, Manuel, Toro, Carlos, Howlett, Robert J., Jain, Lakhmi C.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 11 79%
Readers by discipline Count As %
Computer Science 1 7%
Engineering 1 7%
Unknown 12 86%
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 17 September 2015.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#181,982
of 281,217 outputs
Outputs of similar age from Lecture notes in computer science
#191
of 314 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.
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We're also able to compare this research output to 314 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.