Soft Computing in Data Science

Name: Soft Computing in Data Science | First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings
Brand: Springer
Price: 53.49 EUR
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First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings

Michael W. Berry Azlinah Mohamed Bee Wah Yap(Editor)

Springer (Publisher)

Published on 2. September 2015

XV, 276 pages

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978-981-287-936-3 (ISBN)

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Content

Intro
Preface
Organization
Contents
Part I Data Mining
An Improved Particle Swarm Optimization via Velocity-Based Reinitialization for Feature Selection
1 Introduction
2 Related Works
3 The Proposed PSO_ImVBR Method
4 Experimental Setup
5 Results and Discussion
6 Conclusion
References
Classifying Forum Questions Using PCA and Machine Learning for Improving Online CQA
1 Introduction
2 Experiment
2.1 CQA Dataset and Motivation
2.2 Classification Algorithms
2.3 Factor Analysis
2.4 Classification Model Performance
3 Conclusions
References
Data Projection Effects in Frequent Itemsets Mining
1 Introduction
2 Data Projection in FIM
2.1 Array-Based
2.2 Tree-Based
2.3 Graph-Based
3 Experimental Setup
4 Result
4.1 Construction Time
4.2 Execution Time
4.3 Memory Usage
5 Conclusion
References
Data Quality Issues in Data Migration
1 Introduction
2 Background of the Study
2.1 Data Migration Method
2.2 Extract, Transform and Load (ETL)
2.3 Data Quality Issues
2.4 Data Quality Framework
3 Results
3.1 Data Type Mismatch
3.2 Specification Mismatch
3.3 Missing Values
3.4 Typing Errors
3.5 Redundant Data
3.6 Incorrect Data Values
4 Findings and Discussion
4.1 Enhancement of Data Cleansing Process
4.2 Data Type Mismatch
4.3 Specification Mismatch
4.4 Missing Values
4.5 Typing Error
4.6 Redundant Data
4.7 Incorrect Data Values
5 Conclusion
References
Reviewing Classification Approaches in Sentiment Analysis
1 Introduction
2 Related Works
3 Sentiment Classification Approaches
3.1 Lexicon-Based Approach
3.2 Machine Learning Approach
4 Comparison of Sentiment Classification Approaches
5 Conclusion
References
Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset
1 Introduction
2 Literature Review
2.1 Machine Learning Techniques
2.2 Oversampling and Undersampling
3 Method
3.1 Data Set
3.2 Methods
4 Results and Discussions
5 Conclusions
References
Finding Significant Factors on World Ranking of e-Governments by Feature Selection Methods over KPIs
1 Introduction
2 Empirical Data Analysis
2.1 The Dataset
2.2 Feature Selection Algorithm
2.3 The Experimental Results
2.4 Comparison with Other Methods
3 Conclusions
References
Part II Fuzzy Computing
Possibility Vague Soft Expert Set Theory and Its Application in Decision Making
1 Introduction
2 Preliminaries
3 Possibility Vague Soft Expert Sets
4 Basic Operations on Possibility Vague Soft Expert Sets
5 Application of PVSESs in a Decision Making Problem
6 Conclusion
References
An Iterative Method for Solving Fuzzy Fractional Differential Equations
1 Introduction
2 BasicConcepts
3 Solution Method
4 NumericalExperiment
5 Conclusion
References
Contrast Comparison of Flat Electroencephalography Image: Classical, Fuzzy, and Intuitionistic Fuzzy Set
1 Introduction
2 Basic Concepts
3 Methodology
4 Results
5 Conclusions
References
An Autocatalytic Model of a Pressurized Water Reactor in a Nuclear Power Generation
1 Introduction
2 Autocatalytic Set
3 Modelling Grap
4 Results and Discussions
5 Conclusion
References
Part III Evolutionary Computing / Optimization
Selfish Gene Image Segmentation Algorithm
1 Introduction
2 Proposed Method
2.1 Pre-processing Stage
2.2 Processing Stage
2.3 Post-processing Stage
3 Results and Discussion
4 Conclusion
References
Detecting IMSI-Catcher Using Soft Computing
1 Introduction
2 Related Works
2.1 Security Research Labs (SRLabs)
2.2 Android IMSI-Catcher Detector (#AIMSICD)
3 Brief Description of IMSI Catcher
4 Detection of IMSI Catcher
4.1 Camping in 2G Instead of 3G
4.2 Temporary Disappearance of Mobile Phones
4.3 Disabling of Encryption
4.4 Challenges to the IMSI Catcher Anomaly
5 The Proposed Machine Learning Based IMSI Catcher Detection System
6 Conclusion
References
Solving Curriculum Based Course Timetabling by Hybridizing Local Search Based Method within Harmony Search Algorithm
1 Introduction
2 Curriculum Based Course Timetabling Problem
3 The Algorithm
3.1 Construction Algorithm
3.2 Improvement Algorithm
4 Experimental Results
4.1 Experiments with Higher Number of Iterations
4.2 Comparing with Other Approaches in Literature
5 Conclusion and Future Work
References
A Parallel Latent Semantic Indexing (LSI) Algorithm for Malay Hadith Translated Document Retrieval
1 Introduction
2 Related Works
3 The Proposed Framework and Techniques
3.1 Pre-processing
3.2 Data Collection
4 Result and Discussion
5 Conclusion
References
Short Term Traffic Forecasting Based on Hybrid of Firefly Algorithm and Least Squares Support Vector Machine
1 Introduction
2 Related Work
2.1 Least Squares Support Vector Machine
2.2 Firefly Algorithm
3 Proposed Hybrid Firefly Algorithm with Least Squares Support Vector Machine (FA-LSSVM)
4 Experiments
4.1 Data Description
4.2 Data Normalization
4.3 Criteria Measurement
5 Results
6 Conclusion
References
Implementation of Dynamic Traffic Routing for Traffic Congestion: A Review
1 Introduction
2 Traffic Routing
3 Dynamic Traffic Routing
3.1 Deterministic and Stochastic Environment
3.2 Online and Offline Routing Policy
3.3 Reactive versus Proactive
3.4 Non-recurrent Congestion
4 Findings and Discussions
5 Conclusion
References
Part IV Pattern Recognition
A Comparative Study of Video Coding Standard Performance via Local Area Network
1 Introduction
2 Video Coding Standard
3 Video Process and Transmission
4 Video Performance Testing
5 Experiment Setup
6 Result and Discussion
7 Conclusion and Future Work
References
Partial Differential Equation (PDE) Based Image Smoothing System for Digital Radiographic Image
1 Introduction
2 Materials and Methods
2.1 Image Smoothing
2.2 System Development
3 Results and Discussion
4 Conclusion
References
Main Structure of Handwritten Jawi Sub-word Representation Using Numeric Code
1 Introduction
2 Sub-word Model
3 Feature Extraction
4 Experiment and Data
5 Experiment and Result
6 Conclusion
References
Part V Human Machine Interface
Evaluating the Usability of Homestay Websites in Malaysia Using Automated Tools
1 Introduction
2 Usability
3 Method
4 Analysis and Findings
4.1 Overall Results - Usability Issues of Homestay Websites in Malaysia
4.2 Usability Issues of Homestay Websites Categorized According to Different States and Federal Territories in Malaysia
4.3 Recommendations to Improve the Usability of Homestay Websites
5 Conclusion
References
Humanoid-Robot Intervention for Children with Autism: A Conceptual Model on FBM
1 Introduction
2 Fog's Behavioral Model
3 Conceptual Framework
3.1 Proposed Modified FBM
4 Methodology
5 Result and Discussion
6 Conclusion and Future Works
References
Cross-cultural Kansei Measurement
1 Introduction
2 Research Background
2.1 Emotion and Culture
2.2 Product Emotions
2.3 Website UID and Emotion
3 Research Methods
4 Result and Discussions
5 Conclusion
References
Part VI Hybrid Methods
Accuracy Assessment of Urban Growth Pattern Classification Methods Using Confusion Matrix and ROC Analysis
1 Introduction
2 Related Works
2.1 Urban Growth Pattern Classification Methods
2.2 Accuracy Assessment
3 Data and Methods
3.1 Data Collection
3.2 Data Pre-processing
3.3 Urban Growth Patterns Classification
3.4 Accuracy Assessment
4 Results and Discussion
5 Conclusion
References
Intrusion Detection System Based on Modified K-means and Multi-level Support Vector Machines
1 Introduction
2 Related Work
3 Proposed Modified K-means and Multi-level SVMs Model
4 Experimental Results
5 Conclusion
References
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Soft Computing in Data Science

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