Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)

Name: Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) | Lecture Notes in Electrical Engineering
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Lecture Notes in Electrical Engineering

Tutut Herawan Mustafa Mat Deris Jemal Abawajy(Editor)

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1st Edition

Published on 14. December 2013

XXI, 730 pages

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978-981-4585-18-7 (ISBN)

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Tutut Herawan is a lecturer at Department of Mathematics Education, Universitas Ahmad Dahlan, Indonesia. He has published more than 120 papers in various international journals and conference proceedings. He has served as an editorial board member and reviewer for several international journals such as KBS Elsevier, InfSci Elsevier, EJOR Elsevier, AML Elsevier and guest editor for several special issues such as TELKOMNIKA journal, IJIRR IGI Global and IJMISSP Inderscience. He has served as a program committee member and co-organizer for numerous international conferences/workshops including Soft Computing and Data Engineering (SCDE 2010-2011 at Korea, SCDE 2012 at Brazil), ADMTA 2012 Vietnam, DTA 2011-2012 at Korea, DICTAP 2012 at Thailand, ICDIPC 2012 at Lithuania, DEIS 2012 at Czech Republic, NDT 2012 at Bahrain, ICoCSIM 2012 at Indonesia, ICSDE'2013 at Malaysia, ICSECS 2013 at Malaysia, SCKDD 2013 at Vietnam and many more. His research area includes Data Mining and Knowledge Discovery, Decision Support in Information System, Rough and Soft Set theory.

Mustafa Mat Deris a professor of computer science in the Faculty of Computer Science and Information Technology, UTHM, Malaysia. He has appointed as editorial board member for Journal of Next Generation Information Technology, JNIT, Korea and Encyclopedia on Mobile Computing and Commerce, Idea Group, USA, Guest editor of International Journal of BioMedical Soft Computing and Human Science for Special Issue on "Soft Computing Methodologies and Its Applications" a reviewer of several international journals such as IEEE Transaction on Parallel and Distributed Computing, Journal of Parallel and Distributed Databases, Journal of Future Generation on Computer Systems, Journal of Knowledge-Based Systems, Elsevier, Journal of Cluster Computing, Kluwer and Journal of Computer Mathematics, Taylor & Francis, UK. He has served as a program committee member and co-organizer for numerous internationalconferences/workshops including Grid and Peer-to-Peer Computing, (GP2P 2005, 2006), Autonomic Distributed Data and Storage Systems Management (ADSM 2005, 2006, 2007) and Grid Pervasive Computing Security, organizer for workshops on Rough and Soft Sets Theories and Applications (RSAA 2010), Fukuoka, Japan, and Soft Computing and Data Engineering (SCDE 2010, 2011, Korea, SCDE 2012, Brazil). He is the recipient of "ICT Excellent Teacher" award 2006, from Malaysian National Computing Confederation (MNCC). His research interests include distributed databases, data grid, data mining and soft computing.

Jemal H. Abawajy is a professor at School of Information Technology at Deakin University. He is currently the Director of the Networked and System Security research Group. He has published more than 150 articles in refereed journals and conferences as well as a number of technical reports. He is on the editorial board of several international journals and edited several international journals and conference proceedings. He has also been a member of the organizing committee for over 60 international conferences and workshops serving in various capacities including best paper award chair, general co-chair, publication chair, vice-chair and program committee. He is actively involved in funded research in building secure, efficient and reliable infrastructures for large-scale distributed systems. Towards this vision, he is working in several areas including: pervasive and networked systems (mobile, wireless network, sensor networks, grid, cluster and P2P), e-science and e-business technologies and applications and performance analysis and evaluation.

Content

Intro
Preface
Acknowledgments
Conference organisation
Steering Committee
Chair
Publication Chair
Program Committee Chair
Organizing Chair
Student Committee
Program Committee
Workshop on Recent Advances in Information Systems
Workshop on Mining Educational Data for Effective Educational Resources
Contents
Part I: Database Theory
A Log File Analysis Technique using Binary-BasedApproach
1 Introduction
2 Literature Review
3 Proposed Binary-Based Log File Analysis Technique
4 Experimental Results
5 Conclusion
References
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets
1 Introduction
2 Literature Reviews
3 Methodology
3.1 Cardiac Surgery Data
3.2 Undersampling and Oversampling
3.3 Bagging and Boosting
3.4 Model Performance Measures
4 Results
5 Conclusion
References
Excel-Database Converting System using DataNormalization Technique
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussions
4.1 Data Gathering - Interview
4.2 System Flow
4.3 Normalization Algorithms
4.4 User Interface
4.5 Testing
5 Conclusion
References
Model for Automatic Textual Data Clustering inRelational Databases Schema
1 Introduction
2 Related studies
3 Incremental and Dynamic Repository and Semantic Query
3.1 Incremental and Dynamic Repository
3.2 Semantic Operator in SQL
4 Conclusion
References
Sampling Semantic Data Stream: ResolvingOverload and Limited Storage Issues
1 Introduction
2 Extension to Existing Systems
3 Sampling Methods
3.1 Uniform Random Sampling
3.2 Reservoir Sampling
3.3 Chain Sampling
4 Experimentation
5 Conclusion
References
Shared-Table for Textual Data Clustering in DistributedRelational Databases
1 Introduction
2 Related Studies
3 Distributed Database Architecture
4 Shared-Table
5 Conclusion
References
Part IIData Warehousing and Mining
A Graph-based Reliable User Classification
1 Introduction
2 User Classification
3 A graph-based reliable user extraction method
3.1 Extracting socially well-known users
3.2 Extracting reliable and highly active users
5 Conclusion
4 Experiments and Evaluation
References
A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training
1 Introduction
2 Related Works
2.1. An Overview of Functional Link Neural Network
2.2. FLNN learning Scheme
2.3. Artificial Bee Colony Optimization
3 Proposed Learning Scheme
4 Experimentation
5 Result and Discussion
6 Conclusion
Acknowledgement
References
A Review on Bloom Filter Based Approaches for RFIDData Cleaning
1 Introduction
1.1 RFID System Architecture
1.2 RFID Reading Classes
1.2.1 True positive
1.2.2 False positive
1.2.3 False negative
1.2.4 Duplicate reading
2 Basic of RFID Data Filtering
3 Filtering Approaches
3.1 Bloom-Filter based Approach
4 Conclusion
References
An unsupervised, fast correlation-based filter for feature selection for data clustering
1 Introduction
2 Features and Feature Redundancy
3 Proposed method
4 Experiments
5 Conclusions
References
Comparison of Feature Dimension Reduction Approachfor Writer Verification
1 Introduction
2 Writer Verification
3 Dimension Reduction Method
3.1 Feature Selection
3.2 Feature Transformation using Principal Component analysis
4 Experiment Setup
4.1 Dataset
4.2 Framework Design
4.3 Verification Process
5 Result and Discussion
5.1 Comparison by Classification Accuracy
5.2 Comparison by Selected Features
6 Conclusion
Acknowledgement
References
Countering the problem of oscillations in Bat-BP gradient trajectory by using momentum
1 Introduction
2 The Bat Algorithm
3 The Proposed BAT-BP Algorithm
4 Results and Discussions
4.1 2-Bit XOR Dataset
4.2 3-Bit XOR Dataset
4.3 4-Bit OR Dataset
ACKNOWLEDGEMENTS
5 Conclusions
References
CSBPRNN: A New Hybridization Technique Using Cuckoo Search to Train Back Propagation Recurrent Neural Network
1 Introduction
2 Cuckoo Search (CS) Algorithm
2.1 Back Propagation Recurrent Neural Network
3 The Proposed CSBPRNN Algorithm
4 Results and Discussion
4.1 The 2-Bit XOR Dataset
4.2 The 4-Bit OR dataset
5 Conclusion
References
Data Mining of Protein Sequences with Amino Acid Position-Based Feature Encoding Technique
1 Introduction
2 Methodology
3 Experiments and Results
4 Discussion
Conclusion
Acknowledgement
References
Detecting Definite Least Association Rule in Medical Database
1 Introduction
2 Related Work
3 Basic Concept and Terminology
4.1 Association Rule
3.2 Definite Factor
4 Methodology
4.1 Algorithm Development
Fig. 1.
4.2 Value Assignment
5 Experiment Test
6 Conclusion
References
Discovering Interesting Association Rules from Student Admission Dataset
1 Introduction
2 Related Works
3 Essential Rudiments
3.1 Association Rules (ARs)
4 Methodology
4.1 Algorithm Development
4.2 Value Assignment
5 Result and Discussion
6 Conclusion
Acknowledgment.
References
Follower Classification Based onUser Behavior for Issue Clusters
1 Introduction
2 Related Work
3 Follower Classification Based on User Behavior for IssueClusters
3.1 Extraction of Influential Supporters
3.2 Expansion of User Relationship based on Issue Clusters
3.3 Classification of Co-followers Using Bias Ratio
3.4 Tweet Sentiment Analysis
4 Experiments
4.1 Experimental Set-up
4.2 Experimental Results and Analysis
5 Conclusion
References
Implementation of Modified Cuckoo Search Algorithm onFunctional Link Neural Network for Temperature andRelative Humidity Prediction
1 Introduction
2 Functional Link Neural Network (FLNN)
3 Cuckoo Search (CS)
4 Modified Cuckoo Search (MCS)
5 Data Collection
6 Experimental Design
7 Results
8 Conclusion and Future Works
Acknowledgements
References
Mining Indirect Least Association Rule
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Association Rule
3.2 Indirect Association Rule
3.2 Algorithm Development
4 Experiment Test
5 Conclusion
Negative Selection Algorithm: A Survey on theEpistemology of Generating Detectors
1 Introduction
2 Biological Immune System
3 Artificial Immune System
4 Negative Selection Algorithm
5 Data Representation and Matching Techniques
5.1 Matching Rule for Strings Representation
5.2 Matching Rule for Real-Valued Representation
6 NSA Detector Generation Algorithms
7 Conclusion
References
Nonparametric Orthogonal NMF and Its Application in Cancer Clustering
1 Introduction
2 Orthogonal NMF
3 An L-curve based method for choosing
4 Cancer clustering using the NMF
5 Experimental results
6 Conclusion
Acknowledgement
References
Optimal Parameters Estimation in AWJ Machining Process using Active Set Method
1 Introduction
2 AWJ machining process model
3 Experimental results
4 Conclusion
Acknowledgement
References
Orthogonal Wavelet Support Vector Machine for Predicting Crude Oil Prices
1 Introduction
2 The proposed algorithm
(
,
3 Application
3.1 Data
3.2 Orthogonal Support Vector Machine Modeling
4
Results and Discussion
5 Conclusions
References
Performance Comparison of Two Fuzzy BasedModels in Predicting CarbonDioxide Emissions
1 Introduction
2 Simulation Data
3 Performance Evaluation Criteria
4. Results and Discussion
5 Conclusions
References
Survey on Product Review Sentiment Classification andAnalysis Challenges
1 Introduction
2 Opinion Mining
3 Sentiment Analysis and Classification
4 Sentiment Analysis Level
5 Conclusion
Acknowledgement
References
SVD based Gene Selection Algorithm
1 Introduction
2 The SVD
3 The proposed algorithm
4 Experimental results
5 Conclusion
Acknowledgement
References
The social network role in improving recommendation performance of collaborative filtering
1. Introduction
2. Traditional Collaborative Filtering (TCF)
2.1 Memory-Based CF
Similarity measures:
2.2 Model-Based CF
3. Using Social Network Information in Collaborative Filtering
3.1 TCF-Based Social Network Trust Relations Approaches
3.2 TCF-Based Social Network Friendship Relation Approaches
4. Conclusion
Acknowledgment.
References
Time Series Clustering: A Superior Alternative for Market Basket Analysis
1 Introduction
2 Related Work
3 A Real-world Case of Market Basket Analysis using Clustering
4 Results and Discussions
5 Concluding Remarks
References
To Boost Graph Clustering Based on Power Iterationby Removing Outliers
Weight-Based Firefly Algorithm for Document Clustering
1 Introduction
2 Related Works
3 Method
4 Evaluation
References
Part IIIImage and Video Processing
A Comparative Study of Tree-based Structure Methodsfor Handwriting Identification
1 Introduction
2 Handwriting Identification
3 Tree-based Structure of Feature Selection
4 Experiment
5 Experimental Result and Discussion
6 Conclusion and Future Work
References
An Audio Steganography Technique to Maximize DataHiding Capacity along with Least Modification of Host
1 Introduction
2 Background Study
3 Proposed Methodology
4 Result Analysis
5 Conclusion
6 References
Carving linearly JPEG images using Unique HexPatterns(UHP)
1 Introduction
2 Related Works
3 Frag_Carv Model
4 Experimentation
5 Result and Discussion
6 Conclusion
7 Future Work
References
Distinguishing Twins by Gait via Jackknife-LikeValidation in Classification Analysis
1 Introduction
2 Methodology
3 Matched-Pair Classification with Jackknife-Like Validation
4 Results and Discussion
5 Conclusion
References
Fingertips Tracking Based Active Contour for GeneralHCI Application
1 Introduction
2 Initial Hand Segmentation
2.1 Hand Segmentation
2.2 Hand Center Point
2.3 Fingertips Position
3 Finger Detection and Tracking
3.1 Finger Location
3.2 Candidate Fingertips
3.3 Fingertip Tracking
4 Experimentation Result
4.1 Fingertips Tracking Precision
4.2 Human-Computer Interaction Application
5 Conclusion
References
Parallel Full HD Video Decoding for Multicorearchitecture
1 Introduction
2 Literature Review
3 DESIGN AND IMPLEMENTATION
4 RESULTS AND DISCUSSION
4.1 Testing Environment and Platform
4.2 Performance metrics
4.2.1 Performance analysis without hyper threading technology is enabled
4.2.2 Performance analysis with hyper threading technology is enabled
4.2.3 Performance analysis with hyper threading technology is enabled andthread affinity is implemented
5 CONCLUSION AND RECOMMENDATION
References
Part IVInformation Processing and Integration
314221_1_En_37_Chapter_OnlinePDF
A Comparison Study on Different Crowd MotionEstimation Algorithms Using Matlab
1 Introduction
2 Motion Detection
3 Optical Flow
3.1 Lucas and Kanade method:
3.2 Horn-Schunk Algorithm (HS):
4 Implementation of Optical Flow Using Matlab
4.1 Testing the Horn-Schunck method:
4.2 Testing the Lucas-Kanade method:
4 Conclusion
References
A Modified LRE-TL Real-time MultiprocessorScheduling Algorithm
1 Introduction
2 Model and Terms Definition
3 A Review of Real-time Multiprocessor Scheduling
3.1 LLREF
3.2 LRE-TL
4 Reducing Tasks Migration
5 Result and discussions
6 Conclusion
7 References
Border Noise Removal and Clean Up Based on Retinex Theory
1 Introduction
2 Proposed Method
2.1 Enhancement
2.2 Border Noise Removal
3 Disscussion of Results
4 Conclusion
5 References
Chinese and Korean Cross-Lingual Issue NewsDetection based on Translation Knowledge of Wikipedia
1 Introduction
2 Building Wikipedia-based Translation Knowledge
3 Cross-lingual Issue News Detection
4 Evaluation
5 Conclusion
References
Collision Avoidance Path for Pedestrian AgentPerforming Tawaf
1 Introduction
2 Problem Formulation
3.0 Proposed Methodology
4.0 Result Analysis and Discussion
5.0 Conclusion
References
Cross-reading by leveraging a hybrid index ofheterogeneous information
1 Introduction
2 Fast Searching by Document
2.1 Topic-Sensitive Similarity Hashing for Document
2.2 A Hybrid Index for Heterogeneous information
2.3 Reranking by Click-through Data
3 Experimental Results
3.1 Dataset and Experiment Settings
3.2 Performance of Fast Searching By Document
References
Human Activity Recognition from Basic Actions Using Finite State Machine
1 Introduction
2 System Overview
3 Image Calibration
4 Action Extraction and Feature Calculation
5 Action Recognition
5.1 Walk Through the Scene
5.2 Observations
5.3 Rest
5.4 Browse
5.5 Idle
6 Experimental Result and Discussion
7 Conclusion
8 References
Part VInformation Retrieval and Visualization
A Comparative Study of Cancer Classification Methods Using Microarray Gene Expression Profile
1 Introduction
2 Cancer Classification Methods for Microarray Gene Expression Profile
2.1 Statistical and Data Mining Classification Approaches
2.2 Machine Learning-Based Classification Approaches
2.3 Ensemble-Based Classification Approaches
3 Analysis and Discussion
4 Conclusion
References
An Efficient Perceptual Color Indexing Method forContent-based Image Retrieval Using Uniform ColorSpace
1 Introduction
2 Related Work
3 Proposed Indexing Method
4 Proposed Indexing Method Performance
5 Conclusion
References
Holographic Projection System with 3D SpatialInteraction
1 Introduction
2 Backgrounds
3 Design Considerations
4 System Framework
5 Conclusion
References
Leveraging Post Level Quality Indicators inOnline Forum Thread Retrieval
1 Introduction
2 Related work
3 Developing quality aware thread retrieval
4 Quality Features Used
5 Experimental Design
6 Result
7 Discussion
8 Conclusion and Future Work
Bibliography
Part VIInformation System
A Framework to Predict Software "Quality in Use" fromSoftware Reviews
1 Introduction
2 The problem
3 Related Works
4 Proposed Framework
5 Preliminary Results
6 Conclusion
7 References
A Unified Framework for Business Process Intelligence
1 Introduction
2 Methodology
3 Related Work
4 Unified framework for business process intelligence
5 BPI framework components in relation with researcheremphases
6 Conclusions and Future work
7 References
Effective Risk Management of Software Projects (ERM): An Exploratory Literature Review of IEEE and Scopus Online Databases
1 Introduction
2 Exploratory Literature Review of IEEE and Scopus Online Databases
3 Findings and Discussion of Exploratory Literature Review
4 Conclusion and Future Work
References
Adaptive Questionnaire Ontology in Gathering Patient Medical History in Diabetes Domain
1 Introduction
2 Background
2.1 Early systems Vs Dynamic Systems in Medical Care
2.2 Ontology Based Approach
3 Model of Adaptive Questionnaire Ontology
3.2 Adaptive Questions
4 User Interfaces
4.1 Patient Interface
4.2 Nurse Interface
4.3 Doctor Interface
5 Implementation and Results
5.1 Using OWL API to parse Questionnaire Ontology
5.2 Adaptive Questionnaire
6 Conclusion and Future
Acknowledgement
References
Filtering of Unrelated Answers in a CooperativeQuery Answering System
1 Introduction
2 Techniques for Query Generalization in CooperativeQuery Answering Systems
3 Similarity between User Query and the ReturnedAnswer
4 Conclusion, Limitation, and Future Work
5 Acknowledgements
References
Measuring eGovernment Systems Success:An Empirical Study
1 Introduction
2 IS Success Models
3 Research model and hypotheses
4 Research methodology
5 Results
6 Discussion
7 Conclusion
8 References
The Comparison of CRM Model : a Baseline to CreateEnterprise Architecture for Social CRM
1 Introduction
2 The Comparison of CRM Model
3 The merge of Enterprise Architecture with Social CRMModel
References
About The Authors
Part VIIMobile, Network, Grid and Cloud Computing
A Model for Client Recommendation to aDesktop Grid Server
1 Introduction
2 Related Works
2.1 Without Prediction
2.2 Stochastic Based and Mathematical Modelling Prediction
2.3 Machine Learning Based Prediction
3 Case-Based Reasoning (CBR) for Machine Learning
3.1 CBR Benefits
4 Architecture
4.1 Job Scenario for BOINC architecture
4.2 Job Scenario for Condor pool
5 Forecasting Model
5.1 Availability Tracer (AT) Module
5.2 Recommender and Estimator (RE) Module
6 Conclusion
References
A Reliable Data Flooding in Underwater Wireless Sensor Network
1 INTRODUCTION
2 RELATED WORK
2.1 Vector Based Forwarding (VBF)
2.2 Depth Base Routing (DBR)
2.3 Focused Bream Routing (FBR)
3 PROBLEM AND CHALLENGES
3.1 Research Questions
3.2 Research Objectives
4 MODEL AND CONTRIBUTION
4.1 Packet Forwarding Mechanism
4.2 Algorithm 1: Data packet forwarding
4.3 Priority and Layers Assigning Method
4.4 Waiting Time Calculation
5 PERFORMANCE EVALUATIONS
5.1 Mobility of Nodes
5.2 Analysis with different K's Values
6 COMPARISON WITH VBF
7 CONCLUSION
REFRENCES
Analyzing the Performance of Low Stage Interconnection Network
Introduction
Low Stage Interconnection Network
Performance Analysis
Analytical Results
Conclusion
References
Concurrent Context-Free Grammars
1 Introduction
2 Preliminaries
3 Definitions, Examples, Results
4 Conclusion
References
Effect of the Spin-orbit Interaction on PartialEntangled Quantum Network
1 Introduction
2 The Model
3 Results and Discussion
4 Conclusion
References
Enhancement of the RFID Data Management using EPCIS and e-Transaction
1 Introduction
2 Literature Review
2.1 RFID Data Types and Problems
2.2 EPCglobal Network Standards
2.3 Electornic Transaction Managemant System
3 System Design and Experimentation
3.1 A Case Study
3.2 System Architecture
3.3 Experimentation
3.4 Research Materials.
4 Results and Discussions
4.2 Discussions
4.1 Results
5 Conclusions
Reference
Multi-Criteria Based Algorithm for Scheduling Divisible Load
Introduction
Divisible Load Scheduling
Analytical Hierarchy Process
Proposed Algorithm
Analysis of Proposed Algorithm
Experimental Results
Conclusion
Performance Analysis of Mobile Ad Hoc Networks usingQueuing Theory
1 Introduction
2 Mobile Ad Hoc Network (MANET)
3 Queuing Model for MANET
4 Performence Analysis of MANET
5 Conclusion
6 References
Service Dynamic Substitution Approach Based on Cloud Model
1 Introduction
2 Related Work
3 Dynamic Substitution Approach Based on Cloud Model (DSCM)
3.1 QoS instability detection
3.2 Substitution Algorithm
4 Experiment
5 Conclusion
References
Text Summarization in Android Mobile Devices
1 Introduction
2 Related Work
3 TextSumIt System Architecture
4 Result and Discussion
4.1 Graphical User Interface (GUI)
4.2 System Performance Evaluation
5 Conclusion
References
The Design of Android Metadata based onReverse Engineering using UML
1 Introduction
2 Related Work
3 Android Features
4 Modeling UML for Android
4.1 Structure Fundamental
4.2 Dynamic Fundamental
4.3 User Interface
5 Proposed System Architecture
6 Conclusion
7 Acknowledgements
References
The Idle Resource Items Workload and Implication onDifferent Weight Balance Rate in Grid Scheduling
1 Introduction
2 Related Work
2.1 CPU and Other Resource Items
2.2 Background Load
3 Discussion
3.1 Background Load in Grid Simulation
3.2 Background Load and Available Computing Power
4 Simulation Preparation
4.1 Simulation Setup and Testing Algorithm
4.2 Rules of Simulation Equations
5 Results and Conclusion
5.1 Resource Items Weight Distribution Results
References
Two-Level QoS-Oriented Downlink PacketSchedulers in LTE Networks: A Review
1 Introduction
2 Overview of Resource Allocation in LTE Downlink
3 Quality of Service in LTE Networks
4 Downlink QoS-Oriented Scheduling Algorithms underStudy
4.1 Target Bit Rate
4.2 Delay-throughput
4.3 QCI-throughput
4.4 Combination of Multiple QoS Parameters
5 Discussion
6 Conclusion
References
Using search results metadata to discover effectivelearning objects for mobile devices
1 Introduction
2 Automatic Mobile Learning Objects Compilation (AMLOC)
2.1 Limitations of Mobile Devices in Access Learning Materials
2.2 Challenges of Using Mobile Devices in Accessing Learning Materials
2.3 Effective RLO for Mobile Devices
3 Generating LOM from Search Results Summary
3.1 Mapping of Search Results Summary to Mobile LOM
3.2 Data Mining Tool to extract Search Results Summary
3.4 The AMLOC Web Crawler Implementation
3.2 Challenges of Crawling Search Results for Mobile LOM
4 Related Work.
4.1 Using Search Engine to Rate Learning Objects
4.2 Using Web Crawling to Search Learning Objects
4.3 Using Application Profiles of IEEE LOM
5 Conclusion and Recommendation
References
Part VIIIWeb Data, Services and Intelligence
Analysis of Trust Models to Improve E-CommerceMulti-Agent Systems
1 Introduction
2 Multi Agent Systems
3 Standard Components
3.1 Similarity
3.2 Satisfaction
3.3 Reliability
4 Trust Models
5 Comparisons and Discussion
6 Three Standard Components Interfaces
7 Conclusion
References
Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure using Wikipedia Articles
1 Introduction
2 Related Works
2.1 Semantic Similarity Measures
2.2 Semantic Relatedness Measures
3 Experimental Data
3.1 Unified Medical Language System (UMLS)
3.2 MEDLINE Abstract
3.3 Reference Standard
4 Methods
5 Experiments and Discussions
6 Conclusion
References
Development of Web Services Fuzzy Quality Models using Data Clustering Approach
1 Introduction
2 Material and Methods
2.1 Fuzzy C-Means
2.2 QoS Data Sets
2.3 Clustering Validity Indices
3 Results
3.1 Clustering Validation
3.2 Clustering with FCM
4 Conclusion
References
Thai Related Foreign Language SpecificWeb Crawling Approach
1 Introduction
2 Related Work
3 Relevant web page identification
4 Thai-related foreign language specific web crawler
4.1 Segment Identifier
4.2 Segment Predictor
4.3 Segment Crawler
5 Experiments
5.1 Training dataset
5.2 Internet Evaluation
6 Conclusions
References
Web Discussion Summarization: Study Review
1 Introduction
1.1 Importance of discussion summarization
1.2 Structure of Forums
2 Thread Summarization Methods
2.1 Graph-Based in discussion Summarization
3 Challenges
4 Acknowledgements
5 References
Part IXRecent Advances in Information Systems
A Quantitative Study for Developing A Computerized System for Bone Age Assessment in University of Malaya Medical Center
1 Introduction
2 Quantitative Study
2.1 Respondents
2.2 Data Analysis
3 Results and Discussion
4 Design and Implication
5 Conclusion
References
Customer E-loyalty: From an Estimate in Electronic Commerce with an Artificial Neural Fuzzy Interface System ( ANFIS)
1. Introduction
2. Research framework
3. Research Methodology
4. Artificial Neural Fuzzy System
5. Modelling E-loyalty based ANFIS
6. Validity of results
7. Results and Discussion
8. Future Research
References
DMM-Stream: A Density Mini-Micro ClusteringAlgorithm for Evolving Data Streams
1 Introduction
2 Related Work
3 Basic Definitions
4 DMM-Stream Clustering Algorithm
4.1 Keeping mini-micro and Micro clusters
4.2 Generating final clusters
5 Experimental Evaluation
6 Conclusion
References
Failure Recovery of Composite SemanticServices using Expiration Times
1 Introduction
2 Related Work
3 Failure Recovery Approach using Expiration Times
3.1 Expiration Time (ET )
3.2 Subdigraph Renovation Plan for Failure Recovery usingExpiration Time (SRPFR-ET )
4 Evaluation
5 Conclusion
References
Improving Dynamically Personalized E-Learning byApplying a Help-seeking Model
1 Introduction
2 Research Background
3 Suggested System
4 Conclusion and Future Work
References
Part XMining Educational Data for Effective Educational Resources
A Comparison of Three Documentation Styles forEducational Data Analysis
1 Introduction
2 Motivation of the Study
3 Experiment Description
3.1 Documentation Procedure
3.2 Hypotheses
3.3 Experimental Design
3.4 Participants
3.5 Validity
4 Data Analysis, Results and Discussion
5 Conclusion
References
Educational Data Mining: A Systematic Review of thePublished Literature 2006-2013
1 Introduction
2 Method
2.1 Data Collection and Selection Criteria
2.2 Data Classification and Analysis
3 Discussion and Limitations
4 References:
Learning Analytics : definitions, applications and related fields
1 Introduction
2 What is Learning Analytics?
3 How can LA changes education?
3.1 Educational data
3.2 Educational Tasks
3.3 Stakeholders
4 Classification of Learning Analytics and their related areas
5 Learning Analytics Applications
6 Conclusion and challenges
References

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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)

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