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Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics

Overview of attention for book
Cover of 'Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Innovative Mindset
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    Chapter 2 Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security
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    Chapter 3 An Efficient and Adaptive Method for Collision Probability of Ships, Icebergs Using CNN and DBSCAN Clustering Algorithm
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    Chapter 4 Robust Moving Object Detection and Tracking Framework Using Linear Phase FIR Filter
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    Chapter 5 Advance Persistent Threat Detection Using Long Short Term Memory (LSTM) Neural Networks
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    Chapter 6 Detection and Analysis of Life Style based Diseases in Early Phase of Life: A Survey
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    Chapter 7 3D Trajectory Reconstruction Using Color-Based Optical Flow and Stereo Vision
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    Chapter 8 Medical Image Analysis Using Deep Learning: A Systematic Literature Review
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    Chapter 9 Cross-Domain Spam Detection in Social Media: A Survey
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    Chapter 10 A Comparative Study on k -means Clustering Method and Analysis
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    Chapter 11 Smart Judiciary System: A Smart Dust Based IoT Application
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    Chapter 12 Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytics
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    Chapter 13 The Survival Analysis of Big Data Application Over Auto-scaling Cloud Environment
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    Chapter 14 Rating Prediction by Combining User Interest and Friendly Relationship
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    Chapter 15 A Comparative Study of Methods for Hiding Large Size Audio File in Smaller Image Carriers
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    Chapter 16 An Improved SMS Based Metering System
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    Chapter 17 Cervical Cancer Detection Using Single Cell and Multiple Cell Histopathology Images
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    Chapter 18 IoT Based Alert System for Visually Impaired Persons
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    Chapter 19 Join Query Optimization Using Genetic Ant Colony Optimization Algorithm for Distributed Databases
  21. Altmetric Badge
    Chapter 20 Solving an Intractable Stochastic Partial Backordering Inventory Problem Using Machine Learning
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    Chapter 21 An Approach to Suggest Code Smell Order for Refactoring
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    Chapter 22 Optimal Feature Selection of Technical Indicator and Stock Prediction Using Machine Learning Technique
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    Chapter 23 Using Social Networking Sites: A Qualitative Cross-Cultural Comparison
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    Chapter 24 POS Tagging and Structural Annotation of Handwritten Text Image Corpus of Devnagari Script
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    Chapter 25 Automatic Parallelization of C Code Using OpenMP
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    Chapter 26 Expert System in Determining the Quality of Superior Gourami Seed Using Forward Chaining-Based Websites
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    Chapter 27 Proactive Cache Placement and Optimal Partitioning in Named Data Networking
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    Chapter 28 Hybrid Multimodal Medical Image Fusion Algorithms for Astrocytoma Disease Analysis
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    Chapter 29 Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body
Attention for Chapter 29: Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

patent
1 patent

Citations

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8 Dimensions

Readers on

mendeley
13 Mendeley
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Chapter title
Advanced Expert System Using Particle Swarm Optimization Based Adaptive Network Based Fuzzy Inference System to Diagnose the Physical Constitution of Human Body
Chapter number 29
Book title
Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics
Published in
Communications in Computer and Information Science, February 2019
DOI 10.1007/978-981-13-8300-7_29
Book ISBNs
978-9-81-138299-4, 978-9-81-138300-7
Authors

M. Sivaram, Amin Salih Mohammed, D. Yuvaraj, V. Porkodi, V. Manikandan, N. Yuvaraj, Sivaram, M., Mohammed, Amin Salih, Yuvaraj, D., Porkodi, V., Manikandan, V., Yuvaraj, N.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Lecturer 2 15%
Other 1 8%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 6 46%
Sports and Recreations 1 8%
Unknown 6 46%
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 28 March 2024.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#170,039
of 450,962 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 3.0. 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 450,962 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 51% of its contemporaries.
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