Services - SERVICES 2019

Name: Services - SERVICES 2019 | 15th World Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, Proceedings
Brand: Springer
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15th World Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, Proceedings

Yunni Xia Liang-Jie Zhang(Herausgeber*in)

Springer (Verlag)

Erschienen am 18. Juni 2019

IX, 149 Seiten

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978-3-030-23381-5 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
SMT-Based Modeling and Verification of Cloud Applications
1 Introduction
2 Formalization of Cloud Services in Z3
2.1 Observations as Timed Data Streams
2.2 Modeling of Simple Cloud Services
3 Composition of Cloud Services
4 Verification of Cloud Applications in Z3
5 Conclusion and Future Work
References
On Efficiency of Scrambled Image Forensics Service Using Support Vector Machine
1 Introduction
2 Related Work
2.1 Privacy in Digital Forensics
2.2 Image Encryption (Scramble) Methods
2.3 Feature Extraction and Matching Methods
3 Enhanced Arnold Transform
4 A New Approach for Privacy Preservation
4.1 Preliminaries
4.2 Proposed Scheme
5 Experiments and Results
5.1 Experimental Conditions
5.2 Image Scrambling
5.3 Final Results
6 Conclusion
References
Investigating Personally Identifiable Information Posted on Twitter Before and After Disasters
1 Introduction
1.1 Personally Identifiable Information (PII)
2 Related Work
2.1 Privacy and Security Issues in Social Media
2.2 Social Media's Influence During Disasters
2.3 Privacy Issues in Social Media During Disasters
3 Experimental Design
3.1 Definition of PII in This Study
3.2 Data Collection
3.3 Methodology
4 Experimental Results
4.1 Hurricane in Houston
4.2 Hurricane in Puerto Rico
4.3 Earthquake in Mexico City
4.4 PII Image Predominance in Each Disaster
5 Discussion
6 Conclusion and Future Work
References
Current Trends in Collaborative Filtering Recommendation Systems
Abstract
1 Introduction
2 Background
3 Overview of Collaborative Filtering and Its Techniques
3.1 Collaborative Filtering
3.2 Collaborative Filtering Process
3.3 Collaborative Filtering Algorithms and Methods
4 Limitations of Collaborative Filtering
4.1 Cold Start
4.2 Scalability
4.3 Sparsity
5 Research Methodology for Literature Review
6 Classification of Papers for Literature Review
6.1 Distribution of Papers by Year
6.2 Distribution of Papers by Methodology/Technique
6.3 Distribution of Papers by Application
6.4 Chronological Evaluation of Papers by Year and Technique
7 Conclusion
References
Big Data Quality: A Data Quality Profiling Model
Abstract
1 Introduction and Background
1.1 Big Data Value Chain
1.2 Data Quality
1.3 Data Profiling and Data Quality Profiling
2 Literature Review
3 Big Data Quality Profiling Model
3.1 Big Data Quality Profiling Model Description
3.2 Sampling and Profiling: Statistical Metric Evaluation
3.3 Quality Evaluation Module
3.4 Exploratory Quality Profiling for PPAF Discovery
4 Big Data Quality Profile Repository
4.1 Quality Related Repository Components
4.2 Data Quality Profile
4.3 Pre-processing Activities and Related Functions (PPA+PPAF)
5 Experimentations and Discussions
5.1 Experimental Setup
5.2 Sampling and Profiling (Statistical Metric Evaluation)
5.3 Missing Data Row and Column Wise
5.4 Exploratory Quality Profiling for PPA Function Discovery
6 Conclusion
References
On Development of Data Science and Machine Learning Applications in Databricks
Abstract
1 Introduction
2 Building ML Models
3 The Experiments
3.1 Machine Learning Algorithms
3.2 Experiment 1
3.3 Experiment 2
4 Conclusions
References
Concept Drift Adaptive Physical Event Detection for Social Media Streams
Abstract
1 Introduction
2 Related Work
2.1 Physical Event Detection on Social Sensors
2.2 Concept Drift Adaptation
3 Data Sources
3.1 Physical Sensors and News
3.2 Social Sensors
4 Approach
4.1 Social Sensor Download
4.2 Physical Sensor and News Download
4.3 Social Sensor Data Processing
4.4 Automated Training Data Generation
5 Event Detection with Machine Learning Classifiers
5.1 Classifier Generation
5.2 Update Schedule
5.3 ML-Based Event Detection
6 Evaluation of Drift Adaptive Approach
7 Landslide Detection: Results
8 Conclusions
Acknowledgement
References
ClientNet Cluster an Alternative of Transferring Big Data Files by Use of Mobile Code
Abstract
1 Introduction
1.1 Big Data Sources
1.2 Proposed System
2 Big Data Concepts and Architectures
2.1 Foundations
2.2 Big Data Architectures and Technologies
3 ClientNet Cluster
3.1 Introduction
3.2 ClientNet Architecture and Programming Model
3.2.1 Connectivity and Message Passing
3.2.2 Data Transmission and Filtering
3.2.3 ClientNet Java Classes
4 Conclusion
References
Utilizing Blockchain Technology to Enhance Halal Integrity: The Perspectives of Halal Certification Bodies
Abstract
1 Introduction
2 The Context of Blockchain Technology in Halal Supply Chains
3 Methodology
3.1 Organisation of the Sessions
3.2 Recruiting the Participants
3.3 Conducting the Discussion Sessions
3.4 Analysing and Reporting
4 Results of Large Discussion Group
5 Conclusion
Acknowledgement
References
Maintaining Fog Trust Through Continuous Assessment
Abstract
1 Introduction
2 Background
3 Fog Computing Security Phenomenon
3.1 Trust Concepts
4 Research Questions
5 Trust Management System Model
5.1 Trustworthiness
6 Conclusion and Future Directions
Acknowledgements
References
Study on the Coordination Degree Between FDI and Modern Service Industry Development in Shenzhen
Abstract
1 Introduction
2 Literature Review
3 Composite System Coordination Degree Model Construction
3.1 Establish of Efficiency Function
3.2 Establish of System Ordered Degree Function
3.3 Definition of Composite System Coordination Degree
4 Empirical Analysis of Development Coordination Degree on the "FDI-MSI" Composite System in Shenzhen
4.1 Establish Index System
4.2 Empirical Data Collection
4.3 Calculation Results
5 Conclusion
Acknowledgements
References
Correction to: Study on the Coordination Degree Between FDI and Modern Service Industry Development in Shenzhen
Correction to: Chapter "Study on the Coordination Degree Between FDI and Modern Service Industry Development in Shenzhen" in: Y. Xia and L.-J. Zhang (Eds.): Services - SERVICES 2019, LNCS 11517, https://doi.org/10.1007/978-3-030-23381-5_11
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