Future Data and Security Engineering

Name: Future Data and Security Engineering | Second International Conference, FDSE 2015, Ho Chi Minh City, Vietnam, November 23-25, 2015, Proceedings
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Second International Conference, FDSE 2015, Ho Chi Minh City, Vietnam, November 23-25, 2015, Proceedings

Tran Khanh Dang Roland Wagner Josef Küng Nam Thoai Makoto Takizawa Erich Neuhold(Herausgeber*in)

Springer (Verlag)

Erschienen am 7. November 2015

XIII, 323 Seiten

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978-3-319-26135-5 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Big Data Analytics and Massive Dataset Mining
Random Local SVMs for Classifying Large Datasets
1 Introduction
2 Support Vector Machines
3 Parallel Ensemble Learning Algorithm of Random Local Support Vector Machines
4 Evaluation
5 Discussion on Related Works
6 Conclusion and Future Works
References
An Efficient Document Indexing-Based Similarity Search in Large Datasets
Abstract
1 Introduction
2 Related Work
3 Preliminaries
3.1 Similarity Search
3.2 MapReduce Paradigm
4 The Proposed Methods
4.1 The Clustering Scheme
4.2 Redundancy-Free Compatibility
4.3 Filtering Strategies
4.4 Examples on the Fly
5 Emperical Experiments
5.1 Environment Settings
5.2 Evaluation
6 Summary
Acknowledgements
References
Using Local Rules in Random Forests of Decision Trees
1 Introduction
2 Random Forest Algorithm Using Local Labeling Rules
2.1 Random Forests
2.2 Local Labeling Rules in Decision Forests
3 Evaluation
4 Discussion on Related Work
5 Conclusion and Future Works
References
A Term Weighting Scheme Approach for Vietnamese Text Classification
Abstract
1 Introduction
2 Background and Related Works
2.1 Related Works
2.2 Background
3 Our Proposed Term Weighting Method
4 Experiments
4.1 Experimental Setup
4.2 Evaluation Methodology
4.3 Results
5 Conclusion
Acknowledgment
References
Security and Privacy Engineering
Fault Data Analytics Using Decision Tree for Fault Detection
1 Introduction
2 Related Work
3 CART Approach
3.1 Entropy Splitting Rule
3.2 Tree Growing Process
4 Fault Data Analysis
4.1 Bug Data
4.2 Data Processing
4.3 Tree Construction
5 Evaluation
6 Conclusions
References
Evaluation of Reliability and Security of the Address Resolution Protocol
Abstract
1 Introduction
2 Address Resolution Protocol
2.1 ES-ARP
2.2 S-ARP
3 Methodology
4 Implementation
5 Security Against Address Resolution Protocol Attacks
6 Debate
7 Conclusions and Recommendations
References
Crowdsourcing and Social Network Data Analytics
Establishing a Decision Tool for Business Process Crowdsourcing
Abstract
1 Introduction
2 Literature Review
2.1 Identification of Problems
2.2 DSS View
3 Research Overview
4 Tool Architecture
5 Tool Development
5.1 Web-Based Prototyping
6 Discussion and Conclusion
References
Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric
1 Introduction
2 Related Work
3 PageRank
4 Personalized PageRank for Measuring Semantic Similarity
5 Evaluation
5.1 Experimental Setup
5.2 Neighborhood Graph
5.3 Results
6 Conclusions and Future Work
References
Opinion Analysis in Social Networks Using Antonym Concepts on Graphs
Abstract
1 Introduction
2 Method for Opinion Mining Using Antonym Concepts
2.1 Replacements
2.2 Text Pre-processing
2.3 Graph Building
2.4 Input Text and Concept List Comparison
2.4.1 Edge Count
2.4.2 Use of Logarithms
2.4.3 Logarithms with POS Change Penalization
2.4.4 Semantic Orientation of Words
2.4.5 Individual Semantic Orientation
3 Similarity Measures
3.1 Hirst-St-Onge
3.2 Jiang-Conrath
3.3 Resnik
4 Experiments and Results
4.1 Evaluation Method
4.2 Results
5 Conclusions and Future Work
References
Sensor Databases and Applications in Smart Home and City
Traffic Speed Data Investigation with Hierarchical Modeling
1 Introduction
2 Proposal
3 Inference
4 Experiment
5 Previous Work
6 Conclusion
References
An Effective Approach to Background Traffic Detection
1 Introduction
2 Related Work
3 Overall Architecture and Problem Definition
4 The Proposed Approach
4.1 Periodicity of a TCP Connection Flow
4.2 Auto Correlation (AC) and Projection Based Approaches
4.3 Periodicity Detection Map (PDM)
4.4 BG Traffic Detection Using Machine Learning Approach
5 Evaluation
5.1 Evaluation Environment
5.2 BG Traffic Flows Detected by the Proposed Methods
5.3 Complexity Analysis for the PDM Method
6 Conclusion
References
An Approach for Developing Intelligent Systems in Smart Home Environment
Abstract
1 Introduction
2 Smart Home Environments - SHEs
2.1 SHEs Classification
2.2 Structure and Architecture
2.3 SHEs Techniques
2.4 SHE Applications
3 Proposed Methods
3.1 Method 1: Calculating Anomaly Score Using Extreme Value Theory
3.2 Method 2: Calculating Anomaly Score Based on Sequence Patterns
3.3 Method 3: Determined Abnormal Time Intervals
4 Experimental Results
5 Conclusion
References
Emerging Data Management Systems and Applications
Modelling Sensible Business Processes
Abstract
1 Introduction
2 Sensible Versus Mechanistic BPM
3 Eliciting and Modelling Process Stories
3.1 First Round (Tool Usage)
3.2 Second Round (Small Team, Desired Process)
3.3 Third Round (Large Team, Existing Process)
4 Discussion
References
Contractual Proximity of Business Services
1 Introduction
2 Business Services Representation
3 Service Decomposition
3.1 Goal
3.2 Precondition/Postcondition
3.3 Assumption
3.4 Input/Output
3.5 QoS Factor
3.6 Delivery
3.7 Penalty
3.8 Payment
4 Towards Operationalization Preference and Contractual Proximity of Business Services
4.1 Operationalization Preference
4.2 Contractual Proximity
5 Related Work and Conclusion
References
Energy-Efficient VM Scheduling in IaaS Clouds
1 Introduction
2 Problem Description
2.1 Notations
2.2 Power Consumption Model
2.3 Problem Formulation
3 Heuristic Based Scheduling Algorithm
4 Performance Evaluation
4.1 Algorithms
4.2 Simulated Simulations
4.3 Results and Discussions
5 Related Work
6 Conclusions and Future Work
References
Multi-diagram Representation of Enterprise Architecture: Information Visualization Meets Enterprise Information Management
1 Introduction
2 Running Example and Motivation
2.1 Example
2.2 Diagramming Hierarchical EA is Challenging
3 Definition and Meta-modeling
3.1 Building Blocks and Relations
3.2 Meta-model of SeamCAD
4 Notation and Diagramming
4.1 Notation
4.2 Layout
4.3 Generating Diagrams
5 Applications
5.1 A Case-Study in a Master's Course on EA and SOA
5.2 Enterprise Model for an ERP-Seeking Company in a Market of Watch Parts Manufacturing
5.3 Designing EA with SEAM and SeamCAD
6 Related Work
7 Conclusion
References
Enhancing the Quality of Medical Image Database Based on Kernels in Bandelet Domain
Abstract
1 Introduction
2 Background
2.1 Bandelet Basis
2.2 Bayesian Thresholding
2.3 Deblurring Images
3 Enhancing the Quality of Medical Image Database
3.1 Denoising of Medical Images in Bandelet Domain
3.2 Deblurring of Denoised Medical Images Based on a Novel Kernels Set
4 Experiments and Results
5 Conclusions
Appendix
References
Information Systems Success: A Literature Review
Abstract
1 Introduction
2 Literature Review
2.1 Theoretical Foundation
2.2 IS Success Approach
3 Research Results
3.1 Conceptual/Non-empirical Article Results
3.2 Empirical Article Results
3.3 Result Discussions
4 Conclusions and Future Work
Acknowledgment
References
Context-Based Data Analysis and Applications
Facilitating the Design/Evaluation Process of Web-Based Geographic Applications: A Case Study with WINDMash
1 Introduction
2 Motivation: A Use-Case Example
3 Related Work
4 Design/Evaluation Process
5 Geographic Application Model
6 The WINDMash Environment
6.1 A Pipes Editor
6.2 A Graphical Layout Editor
6.3 A ``Sequence Diagram'' Builder for Specifying End-User Interactions
7 Conclusion
References
A Context-Aware Recommendation Framework in E-Learning Environment
Abstract
1 Introduction
2 Related Works
3 Proposed Context-Aware Recommendation Framework
3.1 Context Inferring
3.2 Ratings Acquisition
3.3 Modeling
3.4 Recommendation
4 Experiments and Results
5 Conclusion and Future Works
Acknowledgments
References
Automatic Evaluation of the Computing Domain Ontology
Abstract
1 Introduction
2 Related Work
3 Automatic Evaluation of the Computing Domain Ontology
3.1 Overview of the Computing Domain Ontology
3.2 The CDO Evaluation
4 Experiment
4.1 Evaluating the Lexicon/Vocabulary and Consistency of CDO Based on Data-Driven
4.2 Evaluating the Lexicon/Vocabulary and Consistency of CDO Based on Application
4.3 Evaluating the CDO's Structure and the Relations of Terms
5 Conclusions
References
Data Models and Advances in Query Processing
Comics Instance Search with Bag of Visual Words
Abstract
1 Introduction
2 Background
3 Proposed Comics Instance Search System
3.1 Image Feature Extraction with ORB
3.2 Train K-means Model by RBRIEF Descriptor Vectors
3.3 Descriptor Vector Quantization
3.4 Pattern Indexing and Searching with Apache Lucene
3.5 Ranking the Results Using BOW Vectors
3.6 Spatial Verification Using RANSAC
4 Experiments
4.1 Ability of ORB Compared to SIFT and SURF
4.2 Determine the Number of Visual Words
5 Conclusion
References
Defining Membership Functions in Fuzzy Object-Oriented Database Model
Abstract
1 Introduction
2 Hegde Algebra
3 Fuzzy Object-Oriented Database Model
3.1 Attribute Level Uncertainty
3.1.1 Attribute Uncertainty
3.1.2 Similarity Matrix
3.2 Object/Class Level Uncertainty
3.3 Class/Subclass Level Uncertainty
4 Conclusion
References
Erratum to: Facilitating the Design/Evaluation Process of Web-Based Geographic Applications: A Case Study with WINDMash
Erratum to: Chapter "Facilitating the Design/Evaluation Process of Web-Based Geographic Applications: A Case Study with WINDMash" in: T.K. Dang et al. (Eds.): Future Data and Security Engineering, LNCS 9446, https://doi.org/10.1007/978-3-319-26135-5_19
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