Advances in Intelligent Data Analysis X
10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011, Proceedings
Published on 25. October 2011
XIV, 425 pages
978-3-642-24800-9 (ISBN)
Description
This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.
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João Gama | Elizabeth Bradley | Jaakko Hollmen
Advances in Intelligent Data Analysis X
10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011, Proceedings
Book
10/2011
Springer
€53.49
Shipment within 7-9 days
Content
- Title page
- Preface
- Organization
- Table of Contents
- Invited Papers
- Bisociative Knowledge Discovery
- Motivation
- Bisociation
- Types of Bisociation
- Bridging Concepts
- Bridging Graphs
- Bridging by Structural Similarity
- Other Types of Bisocation
- Bisociation Discovery Methods
- Outlook
- References
- Computational Sustainability
- Reference
- Intelligent Data Analysis: Keeping Pace with Technological Advances
- References
- Selected Contributions
- Comparative Analysis of Power Consumption in University Buildings Using envSOM
- Introduction
- Analysis of Electrical Data
- EnvSOM: Discovering Environmental Patterns in Electrical Data
- Comparative Analysis of the Buildings
- Computation of Similarity Matrices.
- Projection to a Low-Dimensional Space.
- Clustering of Buildings.
- Experimental Results
- Conclusions
- References
- Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices
- Introduction and Motivation
- Related Work
- Collaborative Data Stream Mining
- Context-Aware Data Mining
- Ensemble Approaches for Data Stream Mining
- Preliminaries
- Problem Definition
- Context Integration
- Context Representation
- CC-Stream
- Creating Regions
- Base Learner
- Integration of Context
- Conclusions and Future Work
- References
- Intra-Firm Information Flow: A Content- Structure Perspective
- Introduction
- Related Work
- Method
- Enron Email Corpus
- Using Topic Dependent Centrality We Can Find the Important People for a Given Topic
- Centrality Scores Combined with NLP Methods Improve Information Retrieval
- In Particular Non-conservative Ones
- Discussion
- References
- Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions
- Introduction and Motivation
- Fault-Tolerant or Approximate Item Set Mining
- Subset Size Occurrence Distribution
- Removing Pseudo/Spurious Item Sets
- Experiments
- Conclusions and Future Work
- References
- Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing
- Introduction and Motivation
- Related Work
- Presuppositions
- Sorting with Non-linear Mappings
- Algorithm
- Distance Measures
- Experiments
- Conclusions and Future Work
- References
- Towards Automatic Pathway Generation from Biological Full-Text Publications
- Introduction
- Related Work
- Gene Regulation Events as an Information Extraction Task
- Information Extraction as Relation Extraction
- Regulation of Gene Expression Events
- The JReX Relation Extraction System
- JReX Pre-processor
- JReX Event Extractor
- Experiments
- Evaluation Scenario and Experimental Settings
- Experimental Results
- Conclusion
- References
- Online Writing Data Representation: A Graph Theory Approach
- Introduction
- Data
- Visualization Techniques
- Method : Graph Representation
- Nodes
- Links
- Analysis of Graphical Patterns
- Additions and Insertions
- Deletions
- Substitutions
- Summary and Future Research Directions
- References
- Online Evaluation of Email Streaming Classifiers Using GNUsmail
- Introduction
- Related Work
- GNUsmail: Architecture and Characteristics
- Reading Email and Text Preprocessing Module
- Learning Module
- Evaluation of Data Stream Mining Methods
- Replicable Experimentation
- Experimental Setup
- Results
- Conclusion
- References
- The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process
- Introduction
- Methods
- Datasets
- Dynamic Stage Bayesian Networks
- Theoretical Considerations
- Results
- Discussion
- Conclusions
- References
- Mining Train Delays
- Introduction
- The Dataset
- Frequent Episodes
- Itemsets
- Sequences
- Episodes
- Closed Episodes
- Experiments
- Data Preprocessing
- Example
- Conclusion and Outlook
- References
- Robustness of Change Detection Algorithms
- Introduction
- Statistical Power
- Robustness
- Related Work
- Our Framework
- Streaming Power
- Robustness of CDAs
- Investigating the CDAs
- Experiments
- Effect of Dimensionality
- Real World Applications
- Findings
- Data DNA: Building Blocks for Test Data Streams
- Conclusion
- References
- GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service
- Introduction
- Graph Construction
- Algorithm
- Random Walks and Random Walk with Restarts
- Finding Related Nodes
- Automatic Hypotheses Generation
- Experiments
- Related Work
- Discussion and Conclusion
- References
- Resampling-Based Change Point Estimation
- Introduction
- Problem Formulation
- Statistical Properties of CUSUM Test
- Pairwise Resampling CP Test and Its Efficiency
- Numerical Examples
- Conclusions
- References
- Learning about the Learning Process
- Introduction
- Related Work
- The Two-Layers Learning System
- Illustrative Example
- Real World Data
- Conclusions
- References
- Predicting Computer Performance Dynamics
- Introduction
- Computer Dynamics
- Methods
- Measuring the State of a Computer
- Delay-Coordinate Embedding
- Prediction Methods
- Prediction of Computer Performance Dynamics
- Conclusions and Future Work
- References
- Prototype-Based Classification of Dissimilarity Data
- Introduction
- Prototype-Based Clustering and Classification
- Dissimilarity Data
- Experiments
- Conclusions
- References
- Automatic Layout Design Solution
- Introduction
- Methodology
- Hill Climbing, Simulated Annealing and SA Genetic Algorithm Operators
- Move Operator
- Fitness Function
- Results
- Summary Statistics
- Exploring the Final Layouts with Their Final Pedestrian Statistics
- Conclusions
- References
- An Alternative to ROC and AUC Analysis of Classifiers
- Introduction
- ROC and AUC Analysis
- Problem Formalization
- Visualisation of the Misclassification Costs Behaviour
- An Efficient Algorithm for Computing the Visualisation
- Experimental Results
- Conclusions
- References
- The Algorithm APT to Classify in Concurrence of Latency and Drift
- Introduction
- Tracking Arbitrarily Distributed Sub-Populations
- An Adaptive Learning Algorithm: APT
- Related Work
- Experimental Evaluation
- Data Generator
- Measures and Algorithms
- Results
- Conclusion
- References
- Identification of Nuclear Magnetic Resonance Signals via Gaussian Mixture Decomposition
- Introduction
- Gaussian Mixture Models
- New Approach to Peak Picking
- Peak Picking via Gaussian Mixture Decomposition
- Outline of the Strategy
- Implementation
- Overview
- Peak Picking Implementation
- Experimental Results
- Conclusions
- References
- Graphical Feature Selection for Multilabel Classification Tasks
- Introduction
- Formal Framework for Multilabel Classification
- Modeling the Relationships of Labels and Attributes
- Multilabel Ranker
- Experimental Results
- Conclusions
- References
- A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages
- Introduction
- Materials
- Architecture
- Visual Data Exploration
- Semantic Image Annotation
- Discussion
- References
- Data Quality through Model Checking Techniques
- Introduction
- Related Work
- Contribution
- Finite State Events Database
- Robust Data Quality Analysis
- The Role of Model Checking in Data Analysis
- Model Checking on Finite State Systems
- The CMurphi Model Checker
- An Industrial Application
- Domain Description
- Career (Simplified) Model
- Graph Representation
- The CMurphi Model
- Robust Data Analysis: Experimental Results
- Conclusions and Future Work
- References
- Generating Automated News to Explain the Meaning of Sensor Data
- Introduction
- The Problem of Generating Explanatory Descriptions
- Generating the Content of the News
- The Discourse Planner
- The Data Analyzer
- Generating the Sensor News Presentations
- Evaluation
- Related Work
- Conclusions
- References
- Binding Statistical and Machine Learning Models for Short-Term Forecasting of Global Solar Radiation
- Introduction
- Short-Term Forecasting Model
- Data Exploration and Foundations of the Procedure
- Description of the Procedure
- Parameter Selection
- Using the Model for Global Solar Radiation Continuous Time Series
- Results
- Conclusions
- References
- Bisociative Discovery of Interesting Relations between Domains
- Motivation
- Networks, Domains and Bisociations
- Knowledge Modeling
- Domains
- Bisociations
- Finding and Assessing Bisociations
- Domain Extraction
- Scoring Bisociation Candidates
- Complexity and Scalability
- Preliminary Evaluation
- Related Work
- Conclusion
- References
- Collaboration-Based Function Prediction in Protein-Protein Interaction Networks
- Introduction
- Related Work
- Two Collaboration-Based Methods
- A Reinforcement Based Function Predictor
- SOM Based Function Predictor
- Experiments
- Dataset and Annotation Data
- Parameter Tuning
- Comparison to Previous Methods
- Extending Majority Rule
- Conclusion
- References
- Mining Sentiments from Songs Using Latent Dirichlet Allocation
- Introduction
- Sentiment Mining
- Music or Lyrics?
- Latent Dirichlet Allocation Blei:LDA
- Variational Inference Jordan
- The Overall System
- Data Acquisition
- Preprocessing
- Topic Distillation
- Validation of Topics
- Experimental Results
- Conclusion and Future Work
- References
- Analyzing Parliamentary Elections Based on Voting Advice Application Data
- Introduction
- Voting Advice Application Data and Parties in Finland
- Data Preprocessing
- Methods
- Principal Component Analysis
- Kernel Density Estimation and Missing Value Imputation
- Experiments and Results
- Preprocessing of Voting Advice Application Data
- Values of Candidates and Parties
- Values of Finnish Voters
- The Values of the Parliament
- Discussion
- References
- Integrating Marine Species Biomass Data by Modelling Functional Knowledge
- Introduction
- Methods
- Functional Variable Search
- Data Integration for Functional Model Prediction
- The Experiments
- Results
- Synthetic Data
- Fish Biomass Data
- Conclusions and Future Work
- References
- A Stylometric Study and Assessment of Machine Translators
- Introduction
- Evaluation Measures
- Edit Distance Based Metrics
- N-Gram Based Metrics
- Evaluation Heuristic
- Experiments and Results
- Comparison with Standard Metrics
- Our LDA Based Approach
- Source Identification
- Qualitative Assessment
- Conclusions
- References
- Traffic Events Modeling for Structural Health Monitoring
- Introduction
- InfraWatch and the Strain Sensor Data
- Subsequence Clustering for Traffic Events Modeling
- Time Series and Subsequence Clustering
- Subsequence Clustering Equals Event Detection?
- A Context-Aware Distance Measure for SSC
- Experimental Evaluation
- Results
- A Scalable Implementation
- Conclusion
- References
- Supervised Learning in Parallel Universes Using Neighborgrams
- Introduction
- Related Work
- Learning in Parallel Universes
- Application Scenarios
- Neighborgrams in Parallel Universes
- Neighborgram Data Structure
- Neighborgram Clustering Algorithm
- A k-Nearest Neighbor Classifier for Parallel Universes
- Results
- Summary
- References
- iMMPC: A Local Search Approach forIncremental Bayesian Network Structure Learning
- Introduction
- Related Work
- Background
- MMPC(T): Local Search Approach for BN Structure Learning
- Incremental Adaption of Score Based BN Structure Learning
- Incremental MMPC(T) Approach
- Forward Phase of MMPC(T) Algorithm as a HCS
- Our Proposal of Incremental MMPC(T)
- Toy Example
- Experimental Study
- Conclusion and Perspectives
- References
- Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features
- Introduction
- Data Acquisition
- Image Collections
- Psychophysical Evaluations
- Feature Extraction
- Classification of Emotional Responses
- Results and Analysis
- Conclusions and Future Work
- References
- Author Index
