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Advances in Machine Learning II

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Cover of 'Advances in Machine Learning II'

Table of Contents

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    Book Overview
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    Chapter 1 Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation
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    Chapter 2 Toward Interactive Computations: A Rough-Granular Approach
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    Chapter 3 Data Privacy: From Technology to Economics
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    Chapter 4 Adapting to Human Gamers Using Coevolution
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    Chapter 5 Wisdom of Crowds in the Prisoner’s Dilemma Context
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    Chapter 6 Towards Multistrategic Statistical Relational Learning
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    Chapter 7 About Knowledge and Inference in Logical and Relational Learning
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    Chapter 8 Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the ‘Assets’ in Theorem Proving
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    Chapter 9 Logical Aspects of the Measures of Interestingness of Association Rules
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    Chapter 10 Clustering the Web 2.0
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    Chapter 11 Induction in Multi-Label Text Classification Domains
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    Chapter 12 Cluster-Lift Method for Mapping Research Activities over a Concept Tree
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    Chapter 13 On Concise Representations of Frequent Patterns Admitting Negation
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    Chapter 14 A System to Detect Inconsistencies between a Domain Expert’s Different Perspectives on (Classification) Tasks
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    Chapter 15 Advances in Machine Learning II
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    Chapter 16 Simple Algorithms for Frequent Item Set Mining
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    Chapter 17 Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification
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    Chapter 18 Machine Learning Methods in Automatic Image Annotation
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    Chapter 19 Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework
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    Chapter 20 Machine Learning in Vector Models of Neural Networks
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    Chapter 21 Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction
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    Chapter 22 Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks
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    Chapter 23 Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection
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    Chapter 24 Immunocomputing for Speaker Recognition
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Citations

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2 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Advances in Machine Learning II
Published by
Springer Berlin Heidelberg, November 2009
DOI 10.1007/978-3-642-05179-1
ISBNs
978-3-64-205178-4, 978-3-64-205179-1
Editors

Koronacki, Jacek, Raś, Zbigniew W., Wierzchoń, Sławomir T., Kacprzyk, Janusz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Austria 1 3%
Brazil 1 3%
China 1 3%
Poland 1 3%
Unknown 26 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Master 8 26%
Student > Ph. D. Student 6 19%
Student > Doctoral Student 4 13%
Student > Bachelor 3 10%
Other 1 3%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 21 68%
Engineering 6 19%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Unknown 1 3%