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Agents and Data Mining Interaction

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Cover of 'Agents and Data Mining Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Intersections of the Future: Using Fully Autonomous Vehicles
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    Chapter 2 Toward a Methodology for Agent-Based Data Mining and Visualization
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    Chapter 3 A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents
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    Chapter 4 Agent Enriched Distributed Association Rules Mining: A Review
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    Chapter 5 Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization
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    Chapter 6 Towards a Numerical, Agent-Based, Behaviour Analysis: The Case of Tourism
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    Chapter 7 A Comparative Study of a Financial Agent Based Simulator Across Learning Scenarios
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    Chapter 8 Agent-Based Cluster Analysis of Tropical Cyclone Tracks in the Western North Pacific
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    Chapter 9 Exploiting Domain Knowledge in Making Delegation Decisions
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    Chapter 10 Data Mining to Support Human-Machine Dialogue for Autonomous Agents
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    Chapter 11 An Instance-Window Based Classification Algorithm for Handling Gradual Concept Drifts
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    Chapter 12 Towards a Multiagent-Based Distributed Intrusion Detection System Using Data Mining Approaches
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    Chapter 13 Change Point Analysis for Intelligent Agents in City Traffic
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    Chapter 14 Mining Frequent Agent Action Patterns for Effective Multi-agent-Based Web Service Composition
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    Chapter 15 Enhancing Agent Intelligence through Evolving Reservoir Networks for Predictions in Power Stock Markets
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    Chapter 16 Pricing Analysis in Online Auctions Using Clustering and Regression Tree Approach
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    Chapter 17 The Impact of Recommender Systems on Item-, User-, and Rating-Diversity
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    Chapter 18 Opinion Formation in the Social Web: Agent-Based Simulations of Opinion Convergence and Divergence
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    Chapter 19 A Data-Driven Approach for Resource Gathering in Real-Time Strategy Games
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    Chapter 20 Data Cloud for Distributed Data Mining via Pipelined MapReduce
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    Chapter 21 Successful Efficient and Intelligent Retrieval Using Analytic Hierarchy Process
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    Chapter 22 A Hybrid System Based on Multi-Agent Systems in Case of e-WeddingThailand
Attention for Chapter 11: An Instance-Window Based Classification Algorithm for Handling Gradual Concept Drifts
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Chapter title
An Instance-Window Based Classification Algorithm for Handling Gradual Concept Drifts
Chapter number 11
Book title
Agents and Data Mining Interaction
Published by
Springer, Berlin, Heidelberg, May 2011
DOI 10.1007/978-3-642-27609-5_11
Book ISBNs
978-3-64-227608-8, 978-3-64-227609-5
Authors

Vahida Attar, Prashant Chaudhary, Sonali Rahagude, Gaurish Chaudhari, Pradeep Sinha, Attar, Vahida, Chaudhary, Prashant, Rahagude, Sonali, Chaudhari, Gaurish, Sinha, Pradeep

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Master 2 29%
Student > Postgraduate 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Unknown 1 14%