Supervised and Unsupervised Learning for Data Science

Chapter 1 A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science

Chapter 2 Overview of One-Pass and Discard-After-Learn Concepts for Classification and Clustering in Streaming Environment with Constraints

Chapter 3 Distributed Single-Source Shortest Path Algorithms with Two-Dimensional Graph Layout

Chapter 4 Using Non-negative Tensor Decomposition for Unsupervised Textual Influence Modeling

Chapter 5 Survival Support Vector Machines: A Simulation Study and Its Health-Related Application

Chapter 6 Semantic Unsupervised Learning for Word Sense Disambiguation

Chapter 7 Enhanced Tweet Hybrid Recommender System Using Unsupervised Topic Modeling and Matrix Factorization-Based Neural Network

Chapter 8 New Applications of a Supervised Computational Intelligence (CI) Approach: Case Study in Civil Engineering