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Advances in Machine Learning and Data Analysis

Overview of attention for book
Cover of 'Advances in Machine Learning and Data Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 2D/3D Image Data Analysis for Object Tracking and Classification
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    Chapter 2 Advances in Machine Learning and Data Analysis
  4. Altmetric Badge
    Chapter 3 Using Digital Watermarking for Securing Next Generation Media Broadcasts
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    Chapter 4 A Reduced-Dimension Processor Model
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    Chapter 5 Hybrid Machine Learning Model for Continuous Microarray Time Series
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    Chapter 6 An Asymptotic Method to a Financial Optimization Problem
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    Chapter 7 Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes
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    Chapter 8 Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys
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    Chapter 9 Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models
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    Chapter 10 Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier
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    Chapter 11 A New Robust Combined Method for Auto Exposure and Auto White-Balance
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    Chapter 12 A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters
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    Chapter 13 Harmonic Analysis and Optimum Allocation of Filters in CSCT
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    Chapter 14 Digital Pen and Paper Technology as a Means of Classroom Administration Relief
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    Chapter 15 A Conceptual Model for a Network-Based Assessment Security System
  17. Altmetric Badge
    Chapter 16 Incorrect Weighting of Absolute Performance in Self-Assessment
Overall attention for this book and its chapters
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Mentioned by

patent
1 patent

Readers on

mendeley
58 Mendeley
Summary Patents
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advances in Machine Learning and Data Analysis
Published by
ADS, October 2009
DOI 10.1007/978-90-481-3177-8
ISBNs
978-9-04-813176-1, 978-9-04-813177-8
Editors

Amouzegar, Mahyar A.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Germany 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 12 21%
Unspecified 8 14%
Researcher 7 12%
Student > Bachelor 4 7%
Other 14 24%
Readers by discipline Count As %
Computer Science 15 26%
Engineering 14 24%
Unspecified 13 22%
Mathematics 4 7%
Economics, Econometrics and Finance 3 5%
Other 9 16%
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 07 April 2021.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#34,210
of 94,894 outputs
Outputs of similar age from ADS
#85
of 321 outputs
Altmetric has tracked 23,041,514 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 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 94,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 321 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.

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