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New Frontiers in Mining Complex Patterns

Overview of attention for book
Cover of 'New Frontiers in Mining Complex Patterns'

Table of Contents

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    Book Overview
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    Chapter 1 Learning with Configurable Operators and RL-Based Heuristics
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    Chapter 2 Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses
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    Chapter 3 Mining Complex Event Patterns in Computer Networks
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    Chapter 4 Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
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    Chapter 5 Retracted: Machine Learning as an Objective Approach to Understanding Music
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    Chapter 6 Pair-Based Object-Driven Action Rules
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    Chapter 7 Effectively Grouping Trajectory Streams
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    Chapter 8 Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
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    Chapter 9 Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
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    Chapter 10 Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
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    Chapter 11 Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns
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    Chapter 12 Improving Robustness and Flexibility of Concept Taxonomy Learning from Text
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    Chapter 13 Discovering Evolution Chains in Dynamic Networks
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    Chapter 14 Supporting Information Spread in a Social Internetworking Scenario
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    Chapter 15 Context-Aware Predictions on Business Processes: An Ensemble-Based Solution
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    Chapter 16 Erratum: Machine Learning as an Objective Approach to Understanding Music
Attention for Chapter 13: Discovering Evolution Chains in Dynamic Networks
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5 Mendeley
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Chapter title
Discovering Evolution Chains in Dynamic Networks
Chapter number 13
Book title
New Frontiers in Mining Complex Patterns
Published by
Springer, Berlin, Heidelberg, September 2012
DOI 10.1007/978-3-642-37382-4_13
Book ISBNs
978-3-64-237381-7, 978-3-64-237382-4
Authors

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%

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