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Integrated Computing Technology

Overview of attention for book
Cover of 'Integrated Computing Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Reputation Based Trust Model for Grid with Enhanced Reliabilty
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    Chapter 2 Biomedical Resource Discovery Considering Semantic Heterogeneity in Data Grid Environments
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    Chapter 3 On Combining Higher-Order MAP-MRF Based Classifiers for Image Labeling
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    Chapter 4 Integrated Cooperative Framework for Project Resources Allocation
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    Chapter 5 SNPs Classification: Building Biological High-Level Knowledge Using Genetic Algorithms
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    Chapter 6 A Comparison of Clustering Algorithms for Data Streams
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    Chapter 7 Approach Space Framework for Image Database Classification
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    Chapter 8 Learning Temporal Interval Relations Using Inductive Logic Programming
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    Chapter 9 Integrated Computing Technology
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    Chapter 10 Efficient ID-Based Multi-proxy Signature Scheme from Bilinear Pairing Based on k-plus Problem
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    Chapter 11 Decision Tree Technique for Customer Retention in Retail Sector
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    Chapter 12 Separation between Arabic and Latin Scripts from Bilingual Text Using Structural Features
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    Chapter 13 Introducing a New Agile Development for Web Applications Using a Groupware as Example
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    Chapter 14 Hardware/Software Co-design for Image Cross-Correlation
Attention for Chapter 8: Learning Temporal Interval Relations Using Inductive Logic Programming
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Chapter title
Learning Temporal Interval Relations Using Inductive Logic Programming
Chapter number 8
Book title
Integrated Computing Technology
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-22247-4_8
Book ISBNs
978-3-64-222246-7, 978-3-64-222247-4
Authors

Maria do Carmo Nicoletti, Flávia O. S. de Sá Lisboa, Estevam Rafael Hruschka

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Engineering 1 33%
Unknown 1 33%

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