Nature-Inspired Computation in Data Mining and Machine Learning

Chapter 1 Adaptive Improved Flower Pollination Algorithm for Global Optimization

Chapter 2 Algorithms for Optimization and Machine Learning over Cloud

Chapter 3 Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks

Chapter 4 Comparative Analysis of Different Classifiers on Crisis-Related Tweets: An Elaborate Study

Chapter 5 An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm

Chapter 6 Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services

Chapter 7 A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks

Chapter 8 3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures

Chapter 9 Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients

Chapter 10 Extraction of Named Entities from Social Media Text in Tamil Language Using N-Gram Embedding for Disaster Management

Chapter 11 Classification and Clustering Algorithms of Machine Learning with their Applications

Chapter 12 Hybrid Binary Particle Swarm Optimization and Flower Pollination Algorithm Based on Rough Set Approach for Feature Selection Problem