This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic.

Research Track.- Entropy-based Approach to Efficient Cleaning of Big Data in Hierarchical Databases.- A Performance Prediction Model for Spark Applications.- Predicting the DJIA with news headlines and historic data using hybrid genetic algorithm/support vector regression and BERT.- Big Data Applications on Large-Scale Infrastructures.- Fake News Classification of Social Media through Sentiment Analysis.- Scalable reference genome assembly from compressed pan-genome index with Spark.- A Web Application for Feral Cat Recognition through Deep Learning.- MCF:Towards Window-based Multiple Cuckoo Filters in Stream Computing.- A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems.- Ensemble learning for heterogeneous missing data imputation.- Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn.- The collaborative influence of multiple interactions on successive POI recommendation.- Application Track.- Chemical XAI to Discover Probable Compounds' Spaces based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio.- Clinical Trials Data Management in the Big Data Era.- Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches.- Heavy Vehicle Classification through Deep Learning.- Short Paper Track.- Spatial Association Pattern Mining using In-Memory Computational Framework.- Dissecting Biological Functions for BRCA Genes and their Targeting MicroRNAs within Eight Clusters.