Data Management, Analytics and Innovation

Chapter 1 Non-parametric Distance—A New Class Separability Measure

Chapter 2 Digital Transformation of Information Resource Center of an Enterprise Using Analytical Services

Chapter 3 Prediction of Stock Market Performance Based on Financial News Articles and Their Classification

Chapter 4 Automatic Standardization of Data Based on Machine Learning and Natural Language Processing

Chapter 5 Analysis of GHI Forecasting Using Seasonal ARIMA

Chapter 6 Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network

Chapter 7 Application of Bayesian Automated Hyperparameter Tuning on Classifiers Predicting Customer Retention in Banking Industry

Chapter 8 Quantum Machine Learning: A Review and Current Status

Chapter 9 Survey of Transfer Learning and a Case Study of Emotion Recognition Using Inductive Approach

Chapter 10 An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold

Chapter 11 Analytics for In Silico Development of Inhibitors from Neem (Azadirachta Indica) Against Pantothenate Synthetase of Mycobacterium Tuberculosis

Chapter 12 A Machine Learning Model for Forecasting Wind Disasters for Farmers

Chapter 13 Prediction of Most Valuable Bowlers of Indian Premier League (IPL)

Chapter 14 Categorizing Text Documents Using Naïve Bayes, SVM and Logistic Regression

Chapter 16 Machine Learning to Diagnose Common Diseases Based on Symptoms

Chapter 17 Efficacy of Oversampling Over Machine Learning Algorithms in Case of Sentiment Analysis

Chapter 18 Study and Detection of Fake News: P2C2-Based Machine Learning Approach

Chapter 19 Demand Forecasting Framework for Optimum Resource Planning

Chapter 20 Determination of Ozone Density Applying Artificial Intelligence

Chapter 21 Development of LSTM Neural Network for Predicting Very Short Term Load of Smart Grid to Participate in Demand Response Program

Chapter 22 Answering Predictive Questions in Natural Language Based on Given Data for Forecasting

Chapter 23 Detecting Duplicate Bi-Lingual Mash-up Question Pairs Using Siamese Multi-layer Perceptron Network

Chapter 24 Glowing Window-Based Feature Extraction Technique for Object Detection

Chapter 25 Improving Siamese Networks for One-Shot Learning Using Kernel-Based Activation Functions

Chapter 26 Prediction of Mental Disorder Using Artificial Neural Network and Psychometric Analysis

Chapter 27 Design Thinking for Class Imbalance Problems Using Compound Techniques

Chapter 28 A Hybrid Graph Centrality Based Feature Selection Approach for Supervised Learning

Chapter 30 Modeling Earthquake Damage Grade Level Prediction Using Machine Learning and Deep Learning Techniques

Chapter 31 Comparative Study of Machine Learning Models to Classify Gene Variants of ClinVar

Chapter 32 Bio-Molecular Event Extraction Using Classifier Ensemble-of-Ensemble Technique