Database Systems for Advanced Applications

Name: Database Systems for Advanced Applications | DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers
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DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers

An Liu Yoshiharu Ishikawa Tieyun Qian Sarana Nutanong Muhammad Aamir Cheema(Editor)

Springer (Publisher)

Published on 29. July 2015

XIV, 328 pages

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978-3-319-22324-7 (ISBN)

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Content

Intro
Message from the Workshop Chairs
Message from the Poster Chairs
DASFAA 2015 Workshop Organizers
DASFAA 2015 Posters Organizers
Contents
The Second International Workshop on Semantic Computing and Personalization (SeCoP)
A Novel Method for Clustering Web Search Results with Wikipedia Disambiguation Pages
1 Introduction
2 Related Work
3 Problem Formulation
4 Method
4.1 Construction of Clustering Structure
4.2 Assignment of Search Results
5 Experiments and Results
5.1 Datasets
5.2 Measurements
5.3 Results
6 Conclusions
References
Integrating Opinion Leader and User Preference for Recommendation
1 Introduction
2 Related Work
3 The OLrs method
3.1 Preliminaries
3.2 Identifying Opinion Leaders
3.3 Predicting
4 Evaluation
4.1 Data Acquisition
4.2 Evaluation Metrics
4.3 Experimental Settings
4.4 Results and Analysis
5 Conclusions and Future Works
References
Learning Trend Analysis and Prediction Based on Knowledge Tracing and Regression Analysis
Abstract
1 Introduction
2 Related Work
2.1 Knowledge Tracing Model
2.2 Post-Test Score Prediction
3 Problem Analysis
4 Algorithm Design
4.1 Course Structure Definition
4.2 Knowledge Tracing
4.3 Regression Modeling
4.4 Trend Analysis and Learning Prediction
5 Experiment Design and Results Analysis
5.1 Experiment Data Selection
5.2 Experiment Design
5.3 Results and Analysis
6 Conclusion
References
Intensive Maximum Entropy Model for Sentiment Classification of Short Text
1 Introduction
2 Related Work
3 Maximum Entropy Model via Intensive Feature Functions
3.1 Problem Definition
3.2 Intensive Maximum Entropy Model
3.3 Parameter Estimation
4 Experiments
4.1 Data Set
4.2 Influence of the Number of Iterations
4.3 Comparison with Baselines
5 Conclusion
References
Maintaining Ranking Lists in Dynamic Virtual Environments
1 Introduction
2 Continuously Ranking List Maintenance
2.1 Preference Query by Global Ranking Lists
2.2 Preference Query by Brute Force
3 A Solution of CRL
3.1 Maintaining the Perceiving Relationships
3.2 Continuous Query Processing
3.3 Upper Bound the Interest Scores
3.4 Effective Size of Materialized Item Lists
4 Performance Evaluation
4.1 Experimental Settings
4.2 Results
5 Related Work
6 Conclusion
References
Knowledge Communication Analysis Based on Clustering and Association Rules Mining
1 Introduction
2 Related Work
3 Knowledge Communication Analysis Framework
3.1 Clustering Analysis
3.2 Association Rule Mining
4 Experiments
4.1 Data Set
4.2 Clustering Analysis for Knowledge Sources
4.3 Clustering Analysis for Knowledge Diffusion
4.4 Association Rule Mining for Knowledge Sources
4.5 Association Rule Mining for Knowledge Diffusion
5 Conclusion
References
Sentiment Detection of Short Text via Probabilistic Topic Modeling
1 Introduction
2 Related Work
2.1 Sentiment Detection
2.2 Short Text Classification
2.3 Latent Semantic Analysis
3 Short Text Sentiment Detection
3.1 Probabilistic Topic Modeling
3.2 Sentiment Detection with Topic-Based Similarity
4 Experiments
4.1 Data Set
4.2 Parameters
4.3 Results and Analysis
5 Conclusion
References
Schema Matching Based on Source Codes
1 Introduction
2 A General Framework for Schema Matching Based on Source Codes
2.1 Extracting Exterior Schemas
2.2 Evaluating the Quality of Matching
2.3 Finding the Optimal Mapping
3 Related Work
4 Conclusions
References
A Quota-Based Energy Consumption Management Method for Organizations Using Nash Bargaining Solution
1 Introduction
2 Energy Consumption Satisfaction Degree
3 The Proposed NBS-based Energy Allocation Scheme
4 Numerical Simulation
5 Conclusion
References
Entity Relation Mining in Large-Scale Data
1 Introduction
2 Related Works
3 The Proposed Framework
3.1 Acquiring the Entity-Relationship Patterns
3.2 Extracting the Entity-Relationship Pairs
3.3 Evaluation of the Candidate Relationship Pairs
4 Implement of Distributed System
5 Experiments
5.1 Dataset
5.2 Results of Comparison
6 Conclusion
References
A Collaborative Filtering Model for Personalized Retweeting Prediction
1 Introduction
2 Related Work
2.1 Collaborative Filtering and Recommender Systems
2.2 Personalized Retweeting Prediction
3 Proposed Method
3.1 Latent Factor Model
3.2 Ranking
3.3 Decomposing Tweets
3.4 Attributes of Tweets in Latent Factor Model
3.5 Linear Combination of Latent Factors
4 Experiments
4.1 Data Set
4.2 Data Preprocess
4.3 Metrics
4.4 Comparison
4.5 Influence of Parameters
5 Conclusions
References
Finding Paraphrase Facts Based on Coordinate Relationships
1 Introduction
2 Related Work
2.1 Semantic Relation Extraction
2.2 Paraphrase Acquisition
3 Preliminaries
4 Basic Idea
5 Our Method
5.1 Template Extraction
5.2 Entity Tuple Extraction
5.3 The Mutual Reinforcement Algorithm
6 Evaluation
6.1 Experimental Setting
6.2 Results
7 Conclusion
References
The Second International Workshop on Big Data Management and Service (BDMS)
Emergency Situation Awareness During Natural Disasters Using Density-Based Adaptive Spatiotemporal Clustering
1 Introduction
2 Related Work
3 (, )-Density-based Adaptive Spatiotemporal Clusters
3.1 Data Model
3.2 Density-Based Spatiotemporal Adaptive Criteria
3.3 Definitions
3.4 (, )-Density-based Adaptive Spatiotemporal Cluster
4 Proposed Method
4.1 Concept and System Overview
4.2 Naive Bayes Classifier
4.3 Incremental Algorithm
5 Experimental Result
6 Conclusion
References
Distributed Data Managing in Health Care Social Network Based on Mobile P2P
Abstract
1 Introduction
2 Methods
2.1 Workflow of Health Workers
2.2 Multi-Platform P2P Ad Hoc Network
2.3 Social Network and Distributed Data Storage
3 Results
4 Conclusions
References
Survey of MOOC Related Research
1 Introduction
2 Basic Research of Recent MOOC
3 MOOC Research Organizations
3.1 MOOC Research Organizations in Educational Area
3.2 MOOC Research Organizations in Computer Science Area
3.3 MOOC Research Organizations Combining both Education and Computer Science
4 Summary
References
Modeling Large Time Series for Efficient Approximate Query Processing
1 Introduction
2 Model-Based Database System Concept
3 Model Querying for Time Series Data
3.1 Model Construction
3.2 Query Computation over Models
4 Evaluation
4.1 AVG and SUM Queries
4.2 Histogram Query
5 Related Work
6 Conclusion and Future Work
References
Personalized User Value Model and Its Application
1 Introduction
2 Related Works
3 Five-Dimension Personalized User Value Model
3.1 User Input-Output Ratio Model
3.2 User Behavior Value Model
3.3 User Net Present Value Model
3.4 Five-Dimension Personalized User Value Contribution
4 Experiments
References
Posters
Flexible Aggregation on Heterogeneous Information Networks
1 Introduction
2 Preliminaries
3 Aggregation Algorithm
4 Experiments Evaluation
5 Conclusions
References
Discovering Organized POI Groups in a City
1 Introduction
2 Problem and Approach
2.1 Definition of Hybrid Similarity
2.2 Algorithm for Discovering OPGs
2.3 Algorithm for Classification
3 Visualization
4 Conclusions
References
Multi-roles Affiliation Model for General User Profiling
1 Introduction
2 Model
3 Inference
3.1 Update of Link Factors
3.2 Update of Attributes Affiliation Graph A
4 Experiments
4.1 Experimental Setup
4.2 Results and Discussion
5 Conclusion
References
Needle in a Haystack: Max/Min Online Aggregation in the Cloud
1 Introduction
2 Related Work
3 Overview
4 Randomization of Blocks
5 Query Processing
5.1 Estimation of Max/Min Value
5.2 Error Correction
6 Max/Min Online Aggregation in the Cloud
7 Performance Evaluation
7.1 Experiment Overview
7.2 Performance over Real Data
7.3 Query Error
8 Conclusion
References
FFD-Index: An Efficient Indexing Scheme for Star Subgraph Matching on Large RDF Graphs
1 Introduction
2 FFD-Index and Query Processing
3 Verification
4 Experiments
5 Conclusion
References
Leveraging Interactive Knowledge and Unlabeled Data in Gender Classification with Co-training
Abstract
1 Introduction
2 Related Work
3 Gender Classification with Co-training
4 Experimentation
5 Conclusion
References
Interactive Gender Inference in Social Media
Abstract
1 Introduction
2 Related Work
3 A Two-Stage Approach
3.1 Stage 1: Four-Category Classification
3.2 Stage 2: Global Label Optimization
4 Experimentation
5 Conclusion
References
Joint Sentiment and Emotion Classification with Integer Linear Programming
Abstract
1 Introduction
2 Related Work
3 Joint Sentiment and Emotion Classification
4 Experimentation
5 Conclusion
References
Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships
1 Introduction
2 Related Work
3 Approach
4 Results
4.1 Evaluation
4.2 Issues
4.3 Crowdsourcing
5 Conclusions
References
Extracting Indoor Spatial Objects from CAD Models: A Database Approach
Abstract
1 Introduction
2 Problem Statement
3 Our Method
3.1 Basic Idea
3.2 Algorithm
3.3 Integration into Indoor Moving-Object Databases
4 Preliminary Results
5 Conclusion
Acknowledgements
References
Incremental Class Discriminant Analysis on Interval-Valued Emitter Signal Parameters
1 Introduction
2 Related Work
3 Method
3.1 Interval Distribution Estimation
3.2 Data Description Model Update
3.3 Class Distribution Inference and Discriminant Analysis
4 Results
5 Conclusion
References
Visualization Tool for Boundary Image Matching Based on Time-Series Data
Abstract
1 Introduction
2 Related Work
3 Design and Implementation of the Visualization Tool
4 Conclusions
References
Performance Analysis of Hadoop-Based SQL and NoSQL for Processing Log Data
Abstract
1 Introduction
2 Related Work
3 Performance Evaluation of SQL Products
3.1 Insertion Operation in SQL
3.2 Selection Operation in SQL
4 Performance Evaluation of NoSQL Products
4.1 Schema Design
4.2 Insertion Operation in NoSQL
4.3 Selection Operation in NoSQL
5 Conclusions
Acknowledgment
References
SVIS: Large Scale Video Data Ingestion into Big Data Platform
1 Introduction
2 Video Data Ingestion System
3 Experimental Study
References
A3SAR: Context-Aware Spatial Augmented Reality for Anywhere, Anyone, and Analysis
1 Introduction
2 System Overview
3 Spatial Index
4 Conclusion and Future Works
References
Semi-supervised Clustering Method for Multi-density Data
Abstract
1 Introduction
2 Clustering Multi-density Data
3 Experimental Results
References
Towards a Pattern-Based Query Language for Document Databases
1 Introduction
2 The JPQ Language
2.1 Data Extraction
2.2 Data Construction
2.3 Data Filtering
2.4 Implementation
3 Conclusion
References
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Database Systems for Advanced Applications

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