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Big Data - BigData 2020 de Surya Nepal

Big Data - BigData 2020: Lecture Notes in Computer Science, cartea 12402

Editat de Surya Nepal, Wenqi Cao, Aziz Nasridinov, Md Zakirul Alam Bhuiyan, Xuan Guo, Liang-Jie Zhang
en Limba Engleză Paperback – 18 sep 2020
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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Specificații

ISBN-13: 9783030596118
ISBN-10: 3030596117
Pagini: 268
Ilustrații: XIV, 254 p. 130 illus., 91 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.