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Big data -- BigData 2020 : 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings / Surya Nepal, Wenqi Cao, Aziz Nasridinov, MD Zakirul Alam Bhuiyan, Xuan Guo, Liang-Jie Zhang (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12402. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham : Springer, 2020.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030596125
  • 3030596125
Other title:
  • BigData 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 005.7 23
LOC classification:
  • QA76.9.B45 B54 2020
Online resources:
Contents:
Intro -- Preface -- Organization -- Conference Sponsor -- Services Society -- About the Services Conference Federation (SCF) -- Contents -- Research Track -- Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases -- Abstract -- 1 Introduction -- 2 Overview of the HDB Architecture -- 3 Basic Definitions -- 4 Entropy as a Measure of Information Quantity -- 5 Computational Application -- 6 Concluding Remarks -- Acknowledgement -- References -- A Performance Prediction Model for Spark Applications -- 1 Introduction -- 2 Related Work -- 3 Overview
3.1 An Experimental Framework for Performance Prediction of Spark -- 3.2 Parameter Selection -- 3.3 Dataset Generation -- 3.4 Application Features Selection -- 3.5 Performance Model -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Evaluation of Performance Model's Accuracy -- 5 Conclusion -- References -- Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT -- 1 Introduction -- 2 Literature Review -- 2.1 Hybrid Genetic Algorithm/Support Vector Regression
2.2 Bidirectional Encoder Representations from Transformers -- 2.3 Proposed Model -- 3 Methods -- 4 Results -- 5 Discussion -- References -- Processing Big Data Across Infrastructures -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology for Deploying BDAs on Large Infrastructures -- 4 Conclusion -- References -- Fake News Classification of Social Media Through Sentiment Analysis -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Hypotheses -- 4 Methodology -- 5 Results and Analysis -- 6 Conclusions and Future Work -- References
Scalable Reference Genome Assembly from Compressed Pan-Genome Index with Spark -- 1 Introduction -- 1.1 Related Work -- 2 Methods -- 2.1 Distributed and Parallel Data Processing in Genomics -- 2.2 Distributed and Parallel Characteristics of Genomic Data -- 2.3 Reference Genome Assembly -- 2.4 Compressed Indexing of Pan-Genomes -- 2.5 Variant Calling -- 2.6 Designing the Distributed Pipeline -- 2.7 Overall Pipeline Description. -- 3 Experiments -- 3.1 Data Preparation -- 3.2 Computing Environment -- 3.3 Results -- 4 Discussion -- 5 Conclusions -- References
A Web Application for Feral Cat Recognition Through Deep Learning -- Abstract -- 1 Introduction -- 2 Background to Deep Learning and Related Work -- 3 Dataset -- 4 Model Construction and Comparison -- 5 Results and Analysis -- 6 Web Application -- 7 Conclusions -- References -- MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing -- 1 Introduction -- 2 Related Work -- 2.1 Uni-Dimensional Filters -- 2.2 Multi-dimensional Filters -- 2.3 Cuckoo Hash and Cuckoo Filter -- 3 Multiple Cuckoo Filter -- 3.1 Checkup Algorithm -- 3.2 False Positive -- 4 Experiments -- 4.1 Checkup
Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

Intro -- Preface -- Organization -- Conference Sponsor -- Services Society -- About the Services Conference Federation (SCF) -- Contents -- Research Track -- Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases -- Abstract -- 1 Introduction -- 2 Overview of the HDB Architecture -- 3 Basic Definitions -- 4 Entropy as a Measure of Information Quantity -- 5 Computational Application -- 6 Concluding Remarks -- Acknowledgement -- References -- A Performance Prediction Model for Spark Applications -- 1 Introduction -- 2 Related Work -- 3 Overview

3.1 An Experimental Framework for Performance Prediction of Spark -- 3.2 Parameter Selection -- 3.3 Dataset Generation -- 3.4 Application Features Selection -- 3.5 Performance Model -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Evaluation of Performance Model's Accuracy -- 5 Conclusion -- References -- Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT -- 1 Introduction -- 2 Literature Review -- 2.1 Hybrid Genetic Algorithm/Support Vector Regression

2.2 Bidirectional Encoder Representations from Transformers -- 2.3 Proposed Model -- 3 Methods -- 4 Results -- 5 Discussion -- References -- Processing Big Data Across Infrastructures -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology for Deploying BDAs on Large Infrastructures -- 4 Conclusion -- References -- Fake News Classification of Social Media Through Sentiment Analysis -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Hypotheses -- 4 Methodology -- 5 Results and Analysis -- 6 Conclusions and Future Work -- References

Scalable Reference Genome Assembly from Compressed Pan-Genome Index with Spark -- 1 Introduction -- 1.1 Related Work -- 2 Methods -- 2.1 Distributed and Parallel Data Processing in Genomics -- 2.2 Distributed and Parallel Characteristics of Genomic Data -- 2.3 Reference Genome Assembly -- 2.4 Compressed Indexing of Pan-Genomes -- 2.5 Variant Calling -- 2.6 Designing the Distributed Pipeline -- 2.7 Overall Pipeline Description. -- 3 Experiments -- 3.1 Data Preparation -- 3.2 Computing Environment -- 3.3 Results -- 4 Discussion -- 5 Conclusions -- References

A Web Application for Feral Cat Recognition Through Deep Learning -- Abstract -- 1 Introduction -- 2 Background to Deep Learning and Related Work -- 3 Dataset -- 4 Model Construction and Comparison -- 5 Results and Analysis -- 6 Web Application -- 7 Conclusions -- References -- MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing -- 1 Introduction -- 2 Related Work -- 2.1 Uni-Dimensional Filters -- 2.2 Multi-dimensional Filters -- 2.3 Cuckoo Hash and Cuckoo Filter -- 3 Multiple Cuckoo Filter -- 3.1 Checkup Algorithm -- 3.2 False Positive -- 4 Experiments -- 4.1 Checkup

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.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 5, 2020).

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