Big Data - BigData 2020 (eBook, PDF)

9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings
Redaktion: Nepal, Surya; Zhang, Liang-Jie; Guo, Xuan; Bhuiyan, Md Zakirul Alam; Nasridinov, Aziz; Cao, Wenqi

• Format: PDF

Produktbeschreibung

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.

The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 254
• Erscheinungstermin: 17. September 2020
• Englisch
• ISBN-13: 9783030596125
• Artikelnr.: 62291971

Inhaltsangabe

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.