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Data Mining and Multi-agent Integration

Overview of attention for book
Cover of 'Data Mining and Multi-agent Integration'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Agent Mining Interaction and Integration
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    Chapter 2 Towards the Integration of Multiagent Applications and Data Mining
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    Chapter 3 Agent-Based Distributed Data Mining: A Survey
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    Chapter 4 Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users’ Session Data
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    Chapter 5 Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies
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    Chapter 6 A Multi-Agent System for Extracting and Analysing Users’ Interaction in a Collaborative Knowledge Management System
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    Chapter 7 Towards Information Enrichment through Recommendation Sharing
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    Chapter 8 A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classification
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    Chapter 9 Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressions
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    Chapter 10 Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Data
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    Chapter 11 Equipping Intelligent Agents with Commonsense Knowledge acquired from Search Query Logs: Results from an Exploratory Story
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    Chapter 12 A Multi-Agent Learning Paradigm for Medical Data Mining Diagnostic Workbench
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    Chapter 13 The EMADS Extendible Multi-Agent Data Mining Framework
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    Chapter 14 A Multiagent Approach to Adaptive Continuous Analysis of Streaming Data in Complex Uncertain Environments
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    Chapter 15 Multiagent Systems for Large Data Clustering
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    Chapter 16 A Multiagent, Multiobjective Clustering Algorithm
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    Chapter 17 Integration of Agents and Data Mining in Interactive Web Environment for Psychometric Diagnostics
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    Chapter 18 A Multi-Agent Framework for Anomalies Detection on Distributed Firewalls Using Data Mining Techniques
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    Chapter 19 Competitive-Cooperative Automated Reasoning from Distributed and Multiple Source of Data
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    Chapter 20 Normative Multi-Agent Enriched Data Mining to Support E-Citizens
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    Chapter 21 CV-Muzar - The Virtual Community Environment that Uses Multiagent Systems for Formation of Groups
  23. Altmetric Badge
    Chapter 22 Agent based Video Contents Identification and Data Mining Using Watermark based Filtering
  24. Altmetric Badge
    Chapter 23 Erratum
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Data Mining and Multi-agent Integration
Published by
ADS, January 2009
DOI 10.1007/978-1-4419-0522-2
ISBNs
978-1-4419-0521-5, 978-1-4419-0522-2
Editors

Cao, Longbing

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 2%
Ireland 1 <1%
Brazil 1 <1%
Sweden 1 <1%
India 1 <1%
Mexico 1 <1%
Denmark 1 <1%
China 1 <1%
Thailand 1 <1%
Other 1 <1%
Unknown 94 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Student > Master 21 20%
Researcher 14 13%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 20 19%
Unknown 14 13%
Readers by discipline Count As %
Computer Science 50 48%
Engineering 12 11%
Medicine and Dentistry 6 6%
Mathematics 4 4%
Physics and Astronomy 3 3%
Other 11 10%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2022.
All research outputs
#7,539,423
of 23,001,641 outputs
Outputs from ADS
#9,305
of 37,436 outputs
Outputs of similar age
#49,147
of 170,034 outputs
Outputs of similar age from ADS
#305
of 903 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,436 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 170,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 903 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.