Data Engineering and Management

Name: Data Engineering and Management | Second International Conference, ICDEM 2010, Tiruchirappalli, India, July 29-31, 2010. Revised Selected Papers
Brand: Springer
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Second International Conference, ICDEM 2010, Tiruchirappalli, India, July 29-31, 2010. Revised Selected Papers

Rajkumar Kannan Frederic Andres(Editor)

Springer (Publisher)

Published on 29. February 2012

356 pages

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978-3-642-27872-3 (ISBN)

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Content

Title
Preface
Table of Contents
Keynote Paper
Semantic Collation of Enterprise Data for Effective Information Retrieval
Introduction
Related Work
Levels of Ontology
Semantic Mapping: Level-1 Ontology
Identifying Composite Entities: Level-2 Ontology
Enhancing the Ontology: Level-3 Ontology
Information Retrieval
Natural Language Based Querying
Menu Based Querying
An Example
Conclusion
References
Tutorial Papers
Beyond Knowledge Management: Knowledge Services Innovation
Introduction
Issues in Knowledge Management and Cyberbrain
Scattered and Heterogeneous Knowledge
Knowledge Overloaded
Cyberbrain: An Ecosystem Platform of Knowledge Collection and Services
Knowledge Fusions and Information Extraction
Knowledge Service with Q&A System
Dealing with Texts: The Document Indexing Level
Matching Selected Texts with Questions with Examples
Discussion and Conclusions
Reference
Ontology Driven Data Management with Topic Maps
Introduction
Related Work
Semantics Augmented Information Management
Topic Maps Management Issues
Architecture and Contextual Topic Maps Issues
Case Study of TMBLOG
Conclusion
References
Digital Library
Web Access Pattern Mining - A Survey
Introduction
WAP-Mine Algorithm
Construction of WAP-Tree and Mining of WAP-Tree
PLWAP-Mine Algorithm
CS-Mine
FLWAP-Mine
Mining with FLWAP-Tree
FOF-Mine
Comparison of the Methods
Conclusion
References
Graph Based Single Document Summarization
Introduction
Extractive Summarization
Related Works
Methodology
Graph Theoretic Approach and Evaluation
Conclusion
References
A Novel Text - Mining System for Generating Abstract from Extracted Summaries Using Anaphora Resolution
Introduction
Extract Generation and Text Pre-processing
The Framework of Abstract Generation System
The Pronominal Anaphora Resolution Algorithm
Results and Discussions
Conclusion
References
Materialized Views Selection for Answering Queries
Introduction
Proposed Algorithm
Examples
Experimental Results
Conclusion
References
Integration of XML Databases by Schema Restructuring
Introduction
Proposed Framework
Analysis
Conclusion
References
Knowledge and Mulsemedia
Dynamic Materialized View Selection Algorithm: A Clustering Approach
Introduction
Related Work
Strategy of Materialized View Selection
Clustering Algorithm Based on Similarity Function
Clustering Materialized View Set
Different Cost Effective Approaches for Selection of Materialized Views
Retaining Existing Materialized Views
View Selection Using Weights
View Selection Using Weights
Query Processing Cost
View Maintenance Cost
Materialized View Selection
Experimental Results
Conclusion
References
Quality of Forecasting Based on Compressed High Frequency Time Series
Introduction
ARAR and Discrete Wavelet Transform
Experiments
Conclusions and Future Works
References
Reduct and Variance Based Clustering of High Dimensional Dataset
Introduction
Literature Review
Proposed Methodology
Experimental Results
Conclusions
References
Peer-to-Peer Network Classification Using nu-Maximal Margin Spherical Structured Multiclass Support Vector Machine
Introduction
Basic Architecture of nu-MSMSVM Based Classification
nu-MSMSVM Model Construction
nu-MSMSVM Model Testing
Experiments and Results
Conclusion
References
An Adaptive Image Retrieval System with Relevance Feedback and Clustering
Introduction
Related Work
Content-Based Image Retrieval
CBIR Architecture
Implementation
CBIR Engine
Results
Graphical User Interface
Conclusion
References
Data Management and Knowledge Extraction
Using the Normalization for Typographic Errors in Numerals
Introduction
Number Search Algorithms
Using the Normalization for Typographic Errors in Numerals
Conclusions and Future Scope
References
Performance Evaluation of Face Recognition Based on PCA, LDA, ICA and Hidden Markov Model
Introduction
Taxonomy of Face Recognition Methods
Holistic Methods
Feature Based Methods
Elastic Bunch Graph Matching
Dynamic Link Matching
Model Based Methods
Active Appearance Model
3D Morphable Model
Hybrid Method
Markov Random Field
Hidden Markov Model
Contour Matching Method
Conclusion
References
Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network
Introduction
Pattern Mining and NMS
Telecommunication Alarm Databases
Trends of Pattern Mining Usage in NMS
Requirements for RoF Like Networks
Conclusions
References
Analysis Patterns in Dimensional Data Modeling
Introduction
Dimensional Data Models
Analysis Patterns
Problem-Solving Behavior of Experts
Schema of the Description Form
Selected Analysis Patterns for Dimensional Data Models
Different Change Intervals of Dimension Attribute Values
Multiple Occurrences of Dimension Objects per Fact(s) by Given Fact Table Grain
Conclusion
References
Mining Single Pass Weighted Pattern Tree
Introduction
Related Work
Our Proposed Mining Single Pass Weighted Pattern Tree
Construction of Compact Pattern Tree
Proposed Mining Single Pass Weighted Pattern Tree
Performance Analysis
Conclusion
References
Digital Library
Ontology Based Conceptual Framework of E-Learning System -The Future Perspective
Introduction
E-Learning and Semantic Web
Metadata
Analysis of the Method for Building Ontology
Knowledge Engineering and Ontology
Case Study: Development of C Programming Ontology
Future Research Challenges and Directions
Conclusion
References
Developing Indian Medicinal Plant Ontology Using OWL and SWRL
Introduction
Knowledge Representation in Medicinal Plant Domain
Ontology and Its Need
Protégé
Structure of MP-Ontology
MP-Ontology Based Reasoning
Rule Based Reasoning
Conclusions
References
Detection ofWeb Users' Opinion from Normal and Short Opinionated Words
Introduction
Related Work
Methodology
Experiments and Results
Conclusion
References
Knowledge and Mulsemedia
Features for Art Painting Classification Based on Vector Quantization of MPEG-7 Descriptors
Introduction
Proposed Approach for Feature Extraction
Realization
Experiments
Conclusions
References
Content Based Image Retrieval Using Various Distance Metrics
Introduction
Architecture of Typical CBIR System
Image Features
Texture
Texture Representation and Features
Similarity Measures
Retrieval Technique Used for Texture Images
Texture Image Database
Distance Algorithm
Experimental Results
Conclusions
References
An Efficient Content Based Image Retrieval Framework Using Machine Learning Techniques
Introduction
Literature Review
Machine Learning Approach in CBIR
Feature Extraction and Dimension Reduction
Feature Extraction
Dimension Reduction
Efficient Image Classification for CBIR Framework
SVM-PWC
FCM
FCM Prefiltering
Entire DB Search
Experimental Setup
Result Analysis
Conclusion
References
Data Management
Validating Data Warehouse Quality Metrics Using PCA
Introduction
Metrics for Data Warehouse
Methodology
Experimental Setup
Experimental Settings and Collected Data
Analysis Results
Conclusion
References
Utilization Analysis of Servers in a Data Centre
Introduction
Problem Formalization and Solution
Near Saturation: A Simple Approach
Approach Using Wilcoxson Signed Rank Sum Test
Identifying Already Saturated and Under-Utilized Servers
Identifying Servers with Interesting Utilization Patterns
Experiments
Related Work
Conclusions and Further Work
References
Subset Selection Approach for Watermarking Relational Databases
Introduction
Cryptographic Algorithm - Message Authenticated Code
Proposed Watermark Embedding and Detection Technique
Proposed Watermark Embedding Technique
Proposed Watermark Detection Technique
Experimental Results
Attribute Cutting Attack
Subset Addition Attack
Alteration Attack
Conclusion
References
Digital Library
Block Dependency Feature Based Classification Scheme for Uncalibrated Image Steganalysis
Introduction
Implementation Details
Feature Extraction
Feature Reduction
Support Vector Machine Based Classification
Result and Discussion
Database of Images
Principal Component Analysis
Linear SVM
Conclusion and Future Work
References
Indexing and Retrieval of Visually Similar Images in the Orthogonal Polynomials Transform Domain
Introduction
Orthogonal Polynomials Transform(OPT)
Gaussian Mixture Model
Bayesian Evaluation
Algorithmic Details
Algorithm for Feature Extraction and Feature Representation
Annotation Algorithm
Retrieval Algorithm
Experimental Evaluation
Results and Discussion
Conclusion
References
Knowledge and Mulsemedia
Human Action Recognition and Localization in Video at Contextual Level
Introduction
Object Classification
Image Representation
Recognition
Background Separation Algorithm
Object Annotation
Object-Parts Hierarchies
Objects Relationship in Spatial Domain
Conclusion
References
Applications of Data Mining in e-Governance: A Case Study of Bhoomi Project
Introduction
Recent Innovations
Citizen Participation
Efficiency
Effectiveness
Combating Corruption
Data Warehouse and Data Mining Technology
Data Mining on e-Governance Data Warehouse
DWM and e-Governance: The Need
Different Data Mining Approach
Benefits of Data Warehouse and Mining for Better e-Governance
Beneficiaries of the System
Case Study
Introduction to Existing Bhoomi System
Statistical Details of BHOOMI Data
Data in BHOOMI System
Need for Business Intelligent System
Conclusion
References
Knowledge and Mulsemedia
Tracking of Nose Tip: An Alternative for Mouse
Introduction
System Architecture
Components of Gesture Recognition System
Image Acquisition
Image Enhancement
Nose Detection and Tracking
Event Handling
Nose Tracking Algorithm
Testing and Performance Analysis
Test Result for 25 Persons
Conclusion and Future Augmentation
References
A Wireless Sensors Based Feedback System for Human Body Movement Practices
Introduction
Human Body Movement Tracking - A Brief Survey
Feedback Assisted Movement Training System
Movement Pattern Matching
System Architecture and Experimental Setup
Conclusion and Future Directions
References
Data Processing and knowledge Extraction
Performance Analysis of Classification Techniques Using Different Parameters
Introduction to Classification Techniques
Problem Definition
Data Analysis
Data Pre Processing
Architecture Selection
Dataset for Analysis
Performance Analysis
Comparison Performance with Different Classification Techniques
Conclusion
References
Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach
Introduction
Proposed Scheme
Applying Inductive Learning to Classify the Situation in Sponsored Search Auctions
Estimation of Revenue Based on the Extracted Rules
Experiments
Conclusions and Future Work
References
Using MySQL and JDBC in New Teaching Methods for Undergraduate Database Systems Courses
Introduction
The Deficiencies of the Traditional Approach
Our Approach to Teaching Database Systems
Relational Algebra and SQL
Java and MySQL
Evaluation of the Approach Taken in the Course
Conclusion
References
Natural Language Processing
A Novel Approach to Morphological Generator for Tamil
Introduction
Morphological Generator for Tamil
Inflection Table Formation
Methodology
Conclusion and Future Work
References
Morphological Analyzer for Malayalam Using Machine Learning
Introduction
Morphological Data Creation for Malayalam Language
Implementation of Morphological Analyzer
Morphological Analyzer Using Machine Learning
Result and ConclusionIn
References
Improved Algorithm for Automatic Word Alignment for Hindi-Punjabi Parallel Corpus
Introduction
Related Work
Overview of Alignment Algorithm
Basic Concepts
Improved Word Alignment Algorithm
Evaluation Method
Limitations of the Previous System and Comparison with Improved Algorithm
Results
References
Workshop on Data Mining with Graphs and Matrices
A Fast and Effective Partitioning Algorithm for Document Clustering
Introduction
Graph Based Criterion Function
Cluster Validity Measures
Entropy
F- Measure
Algorithm Description
Initial Clustering
Refinement
Implementation Details
Results and Analysis
Conclusions and Future Work
References
Low-Rank Matrix Factorization and Co-clustering Algorithms for Analyzing Large Data Sets
Introduction
Co-clustering Algorithms
Bipartite Spectral Graph Partitioning
Isoperimetric Co-clustering Algorithm (ICA)
Low Rank Matrix Factorization Techniques
CUR-Type Decomposition
Compact Matrix Decomposition (CMD)
Conclusion
References
Biclustering and Feature Selection Techniques in Bioinformatics
Introduction
Biclustering Algorithms
Biclustering Algorithm
Weighted Bipartite Graph Representation of Data Matrix
Types of Bicluster
Weighted Bipartite Graph for Gene Expression Data Matrix
Biclustering Methods
Iterative Row and Column Clustering
Recent Biclustering Approaches
Data Transformation
Incremental Local Search(LS)
Feature Selection Techniques
Conclusion
References
A Comparative Study between Dynamic Web Scripting Languages
Introduction
Client Server Architecture
Literature Survey
Experiments and Analysis
Conclusions and Future Work
References
Masquerader Classification System with Linux Command Sequences Using Machine Learning Algorithms
Introduction
Related Work
Dataset Used
System Model
Dataset
Data Extraction
Data Pre-processing
3fold Cross Validation
Classification of Misuse Data
Model Evaluation
Best Classifier
Results and Comparison
Conclusion and Future Work
References
Parsing Operations Based Approach towards Phishing Attacks
Introduction
Related Work
Proposed Methodology
Implementation and Results
Conclusion and Limitation
References
Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases
Introduction
Proposed Work
Problem Statement
Proposed Issues
Mining Process
Conclusion
References
Formal Development of Byzantine Immune Total Order Broadcast System Using Event-B
Introduction
Event-B and the Rodin Platform
An Informal Description of a Byzantine Immune Total Order Broadcast System
Abstract Model
Refinement Model
Conclusions
References
Analyzing Data Flow in Trustworthy Electronic Payment Systems Using Event-B
Introduction
Modeling Approach
B Notations
Event-B Model of DigiCash
Conclusions
References
Attribute -TID Method for Discovering Sequence of Attributes
Introduction
Generation of Attribute -TID Tree
Structure of Attribute -TID Tree
Defining Matrix and Determining the Sequence of the Attributes
Illustration
Experimental Results
Conclusion
References
Author Index

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Data Engineering and Management

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