Agents and Data Mining Interaction
7th International Workshop, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers
Published on 18. December 2011
XIII, 361 pages
978-3-642-27609-5 (ISBN)
Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Agents and Data Mining Interaction, ADMI 2011, held in Taipei, Taiwan, in May 2011 in conjunction with AAMAS 2011, the 10th International Joint Conference on Autonomous Agents and Multiagent Systems.
The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; and agent mining applications.
The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; and agent mining applications.
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Longbing Cao | Ana L.C. Bazzan | Andreas L. Symeonidis
Agents and Data Mining Interaction
7th International Workshop, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers
Book
01/2012
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title Page
- Message from the Workshop Chairs
- Organization
- Table of Contents
- Part I: Agents for Data Mining
- Intersections of the Future: Using Fully Autonomous Vehicles
- Toward a Methodology for Agent-Based Data Mining and Visualization
- Introduction
- Related Work
- Approach
- Experiments and Results
- Summary
- References
- A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents
- Introduction
- Previous Work
- The MADM Framework
- Agent Communication within the Framework
- Operation
- Biding Phase Founded on the K-means Spawning Strategy
- Biding Phase Founded on the KNN Spawning Strategy
- Refinement (Negotiation) Phase
- Cluster Configuration Metrics
- Evaluation
- Conclusion
- References
- Agent Enriched Distributed Association Rules Mining: A Review
- Introduction
- Distributed Data Mining
- Distributed Association Rule Mining
- Preliminaries and Definitions for Frequent Itemsets Mining (FIM)
- Preliminaries and Definitions for Distributed Frequent Itemsets Mining (DFIM)
- Association Rules
- Association Rule Mining(ARM)
- Distributed Association Rule Mining (DARM)
- Mobile Agents for DDM
- Agent Based Frameworks for ARM
- Proposed Framework for DARM
- Conclusion
- References
- Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization
- Introduction
- Related Work
- Problem Statement
- Case Description
- Definitions
- Optimal MAS Configuration
- Constraint Optimization
- Obtaining MAS Configuration
- Evaluation
- Conclusion and Future Work
- References
- Towards a Numerical, Agent-Based, Behaviour Analysis: The Case of Tourism
- Introduction
- Who Does?
- Modelling Consumer Behaviour
- Of ``Paradigms'' and ``Shifts''
- Main Models for Customers Behaviour
- Lifecycle of the ``Tourism Product'' and IS-fitness of Behaviour Models
- Simulation, Simulators and Models
- Numerical Simulations Applied to Management Science
- Agents Model
- Simulation's Decision Core
- Decision: Stochastic Aspects
- Decision: Cellular-Automaton Aspects
- An Approach for Identifying Tourists Groups of Similar Behaviour
- Results Obtained
- Conclusion
- References
- A Comparative Study of a Financial Agent Based Simulator Across Learning Scenarios
- Introduction
- Economic Hypothesis Made in Designing L-FABS
- The Financial Agent Simulator
- Measuring the Approximation Error between Two Time Series
- L-FBAS: Combining Simulated Annealing and FAS
- Partial Knowledge Learning vs Full Knowledge Learning
- Empirical Analysis
- Conclusions
- References
- Agent-Based Cluster Analysis of Tropical Cyclone Tracks in the Western North Pacific
- Introduction
- Methodology
- Clustering Model
- Agent-Based Cluster Analysis Framework
- Improvements of EM Algorithm
- Sensitivity Analysis (SA) for Cluster Analysis
- Cluster Analysis of TC Tracks
- Clustering Results
- Compared with the Clustering Results of Other Researches
- Conclusion
- Reference
- Part II: Data Mining for Agents
- Exploiting Domain Knowledge in Making Delegation Decisions
- Introduction
- Delegating in Norm-Governed Environments
- Learning Agent Policies
- Policies
- Argumentation-Based Negotiation
- Learning from Past Experience through Dialogue
- Learning from Domain Knowledge
- Evaluation
- Discussion
- References
- Data Mining to Support Human-Machine Dialogue for Autonomous Agents
- Introduction
- Speaking with the Librarian
- Related Work
- Spoken Dialogue Systems
- Challenges in Spoken Dialogue
- Wizardry in Human-machine Dialogue
- Preparatory Experiments
- Task Exploration
- The Book Title Experiment
- A Baseline for the Wizard Dialogues
- Experimental Design
- Subjects and Preparation
- Software
- The Task
- How Wizards Conducted Dialogues
- Data Collection
- Results
- The Dialogues
- What Wizards Did
- Exceptional Wizardry
- Caller Impact
- Discussion
- Generality and Applicability
- How Wizards Solved Problems
- System Performance
- Conclusion
- References
- An Instance-Window Based Classification Algorithm for Handling Gradual Concept Drifts
- Introduction
- Related Work
- Concept Drift Categorization
- Drift Detection Techniques
- Drift Handling Techniques
- Proposed Approach
- Use of Zero Diversity
- Use of Instance Window
- Switching to New Ensemble
- Experimentation
- Artificial Datasets
- Real Datasets
- Implementation
- Measures Analyzed
- Results
- Accuracy
- Noise Sensitivity
- Memory and Time Bounds
- Conclusion and Future Work
- References
- Towards a Multiagent-Based Distributed Intrusion Detection System Using Data Mining Approaches
- Introduction
- Scrutiny of the Related Work
- The MAD-IDS System
- The Sniffer Agent (SA)
- The Filter Agent (FA)
- The Misuse Detection Agent (MDA)
- The Anomaly Detection Agent (ADA)
- The Rule Mining Agent (RMA)
- The Reporter Agent (RA)
- Experimental Results
- AD-Clust performances assessment
- Overall Performance of the MAD-IDS System
- Conclusion
- References
- Change Point Analysis for Intelligent Agents in City Traffic
- Introduction
- CP Based Decision Making for Agents in Traffic
- CP Problem and CUSUM Test
- Resampling Based CP Tests
- CUSUM Based Test
- Pairwise Resampling CP Test
- Analysis of the CP Tests Accuracy
- CUSUM Based Test
- Pairwise Resampling CP Test
- Case Study
- Conclusions
- References
- Mining Frequent Agent Action Patterns for Effective Multi-agent-Based Web Service Composition
- Introduction
- Related Work
- Research Issues
- Preliminaries
- Cooperative Reasoning-Based Multi-agent Model
- Roles of Agents in Web Service Composition
- Multi-agent Cooperation for Web Services
- Mining the Frequent Common Actions
- Fundamental Concepts
- Action Change Graph
- Identifying the Common Actions
- Common Action Based Task Decomposition
- Experiment and Analysis
- Experiment Data
- Evaluation on Mining Frequent Action Patterns
- Evaluation on Task Decomposition
- Conclusions
- References
- Enhancing Agent Intelligence through Evolving Reservoir Networks for Predictions in Power Stock Markets
- Introduction
- Background Theory
- Echo State Networks
- NeuroEvolution of Augmented Topologies
- NeuroEvolution of Augmented Reservoirs
- Power Market Auctions
- Related Work
- DM-Enhanced Software Platforms
- Power Market Analysis through AT and DM
- The Cassandra MAS
- Cassandra Scope of Use
- Architecture
- Cassandra User Roles
- Cassandra Agent Types and Auxiliary Modules
- Experiments
- Conclusions and Future Work
- References
- Pricing Analysis in Online Auctions Using Clustering and Regression Tree Approach
- Introduction
- Related Work
- PFA-Price Forecasting Agent
- K-means Cluster Analysis
- K-estimator
- Bid Selector
- Extracting Bidding Strategies
- Experimentation
- Conclusions
- References
- Part III: Agent Mining Applications
- The Impact of Recommender Systems on Item-, User-, and Rating-Diversity
- Introduction
- Related Work
- Recommenders
- Agents
- Summary
- Experiments
- The Netflix Data
- The SVD Algorithm
- Scenarios
- Simulations
- Measures of Diversity
- Results and Analysis
- True Data and Simulation Results
- `Normal' and `Uniform' Scenarios
- Yes-Men, Popularists and Trend-Followers
- From Yes-Men to Random Selection
- Conclusions
- References
- Opinion Formation in the Social Web: Agent-Based Simulations of Opinion Convergence and Divergence
- Introduction
- Research Background
- Agent-Based Modeling of Opinions
- Simulation Model with Predictive Capabilities
- Key Process 1
- Key Process 2
- Conclusion
- References
- A Data-Driven Approach for Resource Gathering in Real-Time Strategy Games
- Introduction
- Efficient Resource Gathering
- Problem Definition
- Algorithm Definition
- Algorithm Analysis
- Experiments
- StarCraft: Brood War
- Experimental Results
- Discussion
- References
- Data Cloud for Distributed Data Mining via Pipelined MapReduce
- Introduction
- Related Work
- Cloud Computing
- Mining Association Rules upon Paralleling (MARP)
- Data Cloud System Architecture for DDM
- Pipelined MapReduce Framework
- The Dataflow of the Pipelined MapReduce Framework
- The Fault Tolerance Strategy of the Pipelined MapReduce Framework
- Case Study
- Apriori Algorithm within the Framework of MapReduce
- Performance Evaluation
- Conclusion
- References
- Successful Efficient and Intelligent Retrieval Using Analytic Hierarchy Process
- Introduction
- Analytic Hierarchy Processing (AHP) Technique
- Structural Hierarchy
- Comparative Judgments
- Proposed AHP Model of Successful Information Retrieval
- Efficient Data Retrieval (C1)
- Intelligent Data Retrieval (C2)
- AHP Model Description
- Conclusion
- References
- A Hybrid System Based on Multi-Agent Systems in Case of e-WeddingThailand
- Introduction
- Related Works
- The Methodologies
- Multi-Agent System
- Web Services
- Ontology
- Data Mining Techniques
- The Proposed Framework and Implementation
- The Proposed Framework of Multi-Agent System
- The Implementation of the Proposed Framework
- Conclusion and Future Work
- References
- Author Index
