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Data Management, Analytics and Innovation

Overview of attention for book
Cover of 'Data Management, Analytics and Innovation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Non-parametric Distance—A New Class Separability Measure
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    Chapter 2 Digital Transformation of Information Resource Center of an Enterprise Using Analytical Services
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    Chapter 3 Prediction of Stock Market Performance Based on Financial News Articles and Their Classification
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    Chapter 4 Automatic Standardization of Data Based on Machine Learning and Natural Language Processing
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    Chapter 5 Analysis of GHI Forecasting Using Seasonal ARIMA
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    Chapter 6 Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network
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    Chapter 7 Application of Bayesian Automated Hyperparameter Tuning on Classifiers Predicting Customer Retention in Banking Industry
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    Chapter 8 Quantum Machine Learning: A Review and Current Status
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    Chapter 9 Survey of Transfer Learning and a Case Study of Emotion Recognition Using Inductive Approach
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    Chapter 10 An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold
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    Chapter 11 Analytics for In Silico Development of Inhibitors from Neem (Azadirachta Indica) Against Pantothenate Synthetase of Mycobacterium Tuberculosis
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    Chapter 12 A Machine Learning Model for Forecasting Wind Disasters for Farmers
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    Chapter 13 Prediction of Most Valuable Bowlers of Indian Premier League (IPL)
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    Chapter 14 Categorizing Text Documents Using Naïve Bayes, SVM and Logistic Regression
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    Chapter 16 Machine Learning to Diagnose Common Diseases Based on Symptoms
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    Chapter 17 Efficacy of Oversampling Over Machine Learning Algorithms in Case of Sentiment Analysis
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    Chapter 18 Study and Detection of Fake News: P2C2-Based Machine Learning Approach
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    Chapter 19 Demand Forecasting Framework for Optimum Resource Planning
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    Chapter 20 Determination of Ozone Density Applying Artificial Intelligence
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    Chapter 21 Development of LSTM Neural Network for Predicting Very Short Term Load of Smart Grid to Participate in Demand Response Program
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    Chapter 22 Answering Predictive Questions in Natural Language Based on Given Data for Forecasting
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    Chapter 23 Detecting Duplicate Bi-Lingual Mash-up Question Pairs Using Siamese Multi-layer Perceptron Network
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    Chapter 24 Glowing Window-Based Feature Extraction Technique for Object Detection
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    Chapter 25 Improving Siamese Networks for One-Shot Learning Using Kernel-Based Activation Functions
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    Chapter 26 Prediction of Mental Disorder Using Artificial Neural Network and Psychometric Analysis
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    Chapter 27 Design Thinking for Class Imbalance Problems Using Compound Techniques
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    Chapter 28 A Hybrid Graph Centrality Based Feature Selection Approach for Supervised Learning
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    Chapter 30 Modeling Earthquake Damage Grade Level Prediction Using Machine Learning and Deep Learning Techniques
  30. Altmetric Badge
    Chapter 31 Comparative Study of Machine Learning Models to Classify Gene Variants of ClinVar
  31. Altmetric Badge
    Chapter 32 Bio-Molecular Event Extraction Using Classifier Ensemble-of-Ensemble Technique
Attention for Chapter 8: Quantum Machine Learning: A Review and Current Status
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Mentioned by

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Citations

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Chapter title
Quantum Machine Learning: A Review and Current Status
Chapter number 8
Book title
Data Management, Analytics and Innovation
Published in
Advances in Intelligent Systems and Computing, September 2020
DOI 10.1007/978-981-15-5619-7_8
Book ISBNs
978-9-81-155618-0, 978-9-81-155619-7
Authors

Nimish Mishra, Manik Kapil, Hemant Rakesh, Amit Anand, Nilima Mishra, Aakash Warke, Soumya Sarkar, Sanchayan Dutta, Sabhyata Gupta, Aditya Prasad Dash, Rakshit Gharat, Yagnik Chatterjee, Shuvarati Roy, Shivam Raj, Valay Kumar Jain, Shreeram Bagaria, Smit Chaudhary, Vishwanath Singh, Rituparna Maji, Priyanka Dalei, Bikash K. Behera, Sabyasachi Mukhopadhyay, Prasanta K. Panigrahi, Mishra, Nimish, Kapil, Manik, Rakesh, Hemant, Anand, Amit, Mishra, Nilima, Warke, Aakash, Sarkar, Soumya, Dutta, Sanchayan, Gupta, Sabhyata, Prasad Dash, Aditya, Gharat, Rakshit, Chatterjee, Yagnik, Roy, Shuvarati, Raj, Shivam, Kumar Jain, Valay, Bagaria, Shreeram, Chaudhary, Smit, Singh, Vishwanath, Maji, Rituparna, Dalei, Priyanka, Behera, Bikash K., Mukhopadhyay, Sabyasachi, Panigrahi, Prasanta K.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Researcher 13 11%
Student > Bachelor 13 11%
Student > Master 8 7%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 43 38%
Readers by discipline Count As %
Computer Science 25 22%
Physics and Astronomy 15 13%
Engineering 13 11%
Mathematics 4 4%
Unspecified 2 2%
Other 8 7%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2024.
All research outputs
#15,568,718
of 25,992,468 outputs
Outputs from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Outputs of similar age
#226,142
of 432,779 outputs
Outputs of similar age from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 0 of them.
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 432,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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