Big Data – BigData 2020

Chapter 1 Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases

Chapter 2 A Performance Prediction Model for Spark Applications

Chapter 3 Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT

Chapter 4 Processing Big Data Across Infrastructures

Chapter 6 Scalable Reference Genome Assembly from Compressed Pan-Genome Index with Spark

Chapter 7 A Web Application for Feral Cat Recognition Through Deep Learning

Chapter 8 MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing

Chapter 9 A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems

Chapter 10 Ensemble Learning for Heterogeneous Missing Data Imputation

Chapter 11 Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn

Chapter 12 The Collaborative Influence of Multiple Interactions on Successive POI Recommendation

Chapter 13 Chemical XAI to Discover Probable Compounds’ Spaces Based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio

Chapter 14 Clinical Trials Data Management in the Big Data Era

Chapter 15 Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches

Chapter 16 Heavy Vehicle Classification Through Deep Learning

Chapter 17 Spatial Association Pattern Mining Using In-Memory Computational Framework

Chapter 18 Dissecting Biological Functions for BRCA Genes and Their Targeting MicroRNAs Within Eight Clusters