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Machine Learning, Optimization, and Big Data

Overview of attention for book
Cover of 'Machine Learning, Optimization, and Big Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Machine Learning: Multi-site Evidence-Based Best Practice Discovery
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    Chapter 2 Data-Based Forest Management with Uncertainties and Multiple Objectives
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    Chapter 3 Metabolic Circuit Design Automation by Multi-objective BioCAD
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    Chapter 4 A Nash Equilibrium Approach to Metabolic Network Analysis
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    Chapter 5 A Blocking Strategy for Ranking Features According to Probabilistic Relevance
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    Chapter 6 A Scalable Biclustering Method for Heterogeneous Medical Data
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    Chapter 7 Neural Learning of Heuristic Functions for General Game Playing
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    Chapter 8 Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations
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    Chapter 9 Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study
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    Chapter 10 Feature Selection via Co-regularized Sparse-Group Lasso
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    Chapter 11 Economic Lot-Sizing Problem with Remanufacturing Option: Complexity and Algorithms
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    Chapter 12 A Branch-and-Cut Algorithm for a Multi-item Inventory Distribution Problem
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    Chapter 13 Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors
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    Chapter 14 Design of Acoustic Metamaterials Through Nonlinear Programming
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    Chapter 15 Driver Maneuvers Inference Through Machine Learning
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    Chapter 16 A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data
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    Chapter 17 Large-Scale Bandit Recommender System
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    Chapter 18 Automatic Generation of Sitemaps Based on Navigation Systems
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    Chapter 19 A Customer Relationship Management Case Study Based on Banking Data
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    Chapter 20 Lagrangian Relaxation Bounds for a Production-Inventory-Routing Problem
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    Chapter 21 Convergence Rate Evaluation of Derivative-Free Optimization Techniques
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    Chapter 22 The Learnability of Business Rules
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    Chapter 23 Dynamic Programming with Approximation Function for Nurse Scheduling
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    Chapter 24 Breast Cancer’s Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations
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    Chapter 25 Optimizing the Location of Helicopter Emergency Medical Service Operating Sites
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    Chapter 26 An Enhanced Infra-Chromatic Bound for the Maximum Clique Problem
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    Chapter 27 Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem
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    Chapter 28 Combining Genetic Algorithm with the Multilevel Paradigm for the Maximum Constraint Satisfaction Problem
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    Chapter 29 Implicit Location Sharing Detection in Social Media Turkish Text Messaging
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    Chapter 30 Fuzzy Decision-Making of a Process for Quality Management
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    Chapter 31 A Bayesian Network Profiler for Wildfire Arsonists
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    Chapter 32 Learning Optimal Decision Lists as a Metaheuristic Search for Diagnosis of Parkinson’s Disease
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    Chapter 33 Hermes: A Distributed-Messaging Tool for NLP
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    Chapter 34 Deep Learning for Classification of Dental Plaque Images
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    Chapter 35 Multiscale Integration for Pattern Recognition in Neuroimaging
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    Chapter 36 Game Theoretical Tools for Wing Design
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    Chapter 37 Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations
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    Chapter 38 Big Data Analytics in a Public General Hospital
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    Chapter 39 Inference of Gene Regulatory Network Based on Radial Basis Function Neural Network
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    Chapter 40 Establishment of Optimal Control Strategy of Building-Integrated Photovoltaic Blind Slat Angle by Considering Interior Illuminance and Electricity Generation
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
41 Mendeley
Summary X Dimensions citations
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
Machine Learning, Optimization, and Big Data
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-51469-7
ISBNs
978-3-31-951468-0, 978-3-31-951469-7
Editors

Pardalos Panos M., Conca Piero, Giuffrida Giovanni, Nicosia Giuseppe

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Student > Ph. D. Student 5 12%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Professor 2 5%
Other 8 20%
Unknown 15 37%
Readers by discipline Count As %
Engineering 10 24%
Computer Science 5 12%
Unspecified 1 2%
Earth and Planetary Sciences 1 2%
Decision Sciences 1 2%
Other 5 12%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 July 2023.
All research outputs
#7,040,442
of 24,661,808 outputs
Outputs from Lecture notes in computer science
#2,131
of 8,154 outputs
Outputs of similar age
#106,933
of 404,094 outputs
Outputs of similar age from Lecture notes in computer science
#238
of 580 outputs
Altmetric has tracked 24,661,808 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 73% 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 404,094 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 580 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 59% of its contemporaries.

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