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Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

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    Book Overview
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    Chapter 1 Mixture Models from Multiresolution 0-1 Data
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    Chapter 2 Model Tree Ensembles for Modeling Dynamic Systems
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    Chapter 3 Fast and Scalable Image Retrieval Using Predictive Clustering Trees
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    Chapter 4 Avoiding Anomalies in Data Stream Learning
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    Chapter 5 Generalizing from Example Clusters
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    Chapter 6 Clustering Based Active Learning for Evolving Data Streams
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    Chapter 7 Robust Crowd Labeling Using Little Expertise
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    Chapter 8 A New Approach to String Pattern Mining with Approximate Match
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    Chapter 9 OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process
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    Chapter 10 A Wordification Approach to Relational Data Mining
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    Chapter 11 Multi-interval Discretization of Continuous Attributes for Label Ranking
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    Chapter 12 Identifying Super-Mediators of Information Diffusion in Social Networks
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    Chapter 13 SM2D: A Modular Knowledge Discovery Approach Applied to Hydrological Forecasting
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    Chapter 14 A Dynamic Programming Algorithm for Learning Chain Event Graphs
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    Chapter 15 Mining Interesting Patterns in Multi-relational Data with N-ary Relationships
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    Chapter 16 Learning Hierarchical Multi-label Classification Trees from Network Data
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    Chapter 17 A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications
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    Chapter 18 Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis
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    Chapter 19 Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems
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    Chapter 20 Semantic Data Mining of Financial News Articles
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    Chapter 21 Polynomial Delay and Space Discovery of Connected and Acyclic Sub-hypergraphs in a Hypergraph
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    Chapter 22 Hyperlink Prediction in Hypernetworks Using Latent Social Features
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    Chapter 23 Extracting Opinionated (Sub)Features from a Stream of Product Reviews
Attention for Chapter 17: A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications
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Citations

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Chapter title
A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications
Chapter number 17
Book title
Discovery Science
Published by
Springer, Berlin, Heidelberg, October 2013
DOI 10.1007/978-3-642-40897-7_17
Book ISBNs
978-3-64-240896-0, 978-3-64-240897-7
Authors

Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar, Székely, Enikö, Poncelet, Pascal, Masseglia, Florent, Teisseire, Maguelonne, Cezar, Renaud

View on publisher site
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 1 20%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Engineering 1 20%
Unknown 2 40%

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