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Nature Inspired Computing

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Cover of 'Nature Inspired Computing'

Table of Contents

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    Book Overview
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    Chapter 1 EasyOnto: A Collaborative Semiformal Ontology Development Platform
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    Chapter 2 Biometric Inspired Homomorphic Encryption Algorithm for Secured Cloud Computing
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    Chapter 3 Relevance Feedback Base User Convenient Semantic Query Processing Using Neural Network
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    Chapter 4 Comparative Analysis of Decision Tree Algorithms
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    Chapter 5 Analysing the Genetic Diversity of Commonly Occurring Diseases
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    Chapter 6 Alternate Procedure for the Diagnosis of Malaria via Intuitionistic Fuzzy Sets
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    Chapter 7 A Deadline-Aware Modified Genetic Algorithm for Scheduling Jobs with Burst Time and Priorities
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    Chapter 8 Bio-Inspired Computation for Optimizing Scheduling
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    Chapter 9 Segmentation of Mammograms Using a Novel Intuitionistic Possibilistic Fuzzy C -Mean Clustering Algorithm
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    Chapter 10 Wireless Monitoring and Indoor Navigation of a Mobile Robot Using RFID
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    Chapter 11 A Note on q -Bernoulli–Euler Polynomials
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    Chapter 12 An Approach for Iris Segmentation in Constrained Environments
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    Chapter 13 Detection of Chronic Kidney Disease: A NN-GA-Based Approach
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    Chapter 14 An Optimal Tree-Based Routing Protocol Using Particle Swarm Optimization
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    Chapter 15 Sybil Attack Prevention Algorithm for Body Area Networks
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    Chapter 16 Surface Acoustic Wave E-nose Sensor Based Pattern Generation and Recognition of Toxic Gases Using Artificial Neural Network Techniques
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    Chapter 17 Pico-Nym Cloud (PNC): A Method to Devise and Peruse Semantically Related Biological Patterns
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    Chapter 18 Assessment on VM Placement and VM Selection Strategies
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    Chapter 19 Distributed Denial of Service Attack Detection Using Ant Bee Colony and Artificial Neural Network in Cloud Computing
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    Chapter 20 Performance Evaluation of Neural Network Training Algorithms in Redirection Spam Detection
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    Chapter 21 Novel Method for Predicting Academic Performance of Students by Using Modified Particle Swarm Optimization (PSO)
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    Chapter 22 Medical Diagnosing of Canine Diseases Using Genetic Programming and Neural Networks
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    Chapter 23 A Comparative Study on Decision-Making Capability Between Human and Artificial Intelligence
Attention for Chapter 4: Comparative Analysis of Decision Tree Algorithms
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3 Wikipedia pages

Citations

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5 Dimensions

Readers on

mendeley
96 Mendeley
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Chapter title
Comparative Analysis of Decision Tree Algorithms
Chapter number 4
Book title
Nature Inspired Computing
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6747-1_4
Book ISBNs
978-9-81-106746-4, 978-9-81-106747-1
Authors

Mridula Batra, Rashmi Agrawal, Batra, Mridula, Agrawal, Rashmi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 10%
Student > Master 8 8%
Lecturer 6 6%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 13 14%
Unknown 49 51%
Readers by discipline Count As %
Computer Science 22 23%
Engineering 7 7%
Social Sciences 3 3%
Economics, Econometrics and Finance 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 7 7%
Unknown 54 56%