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Advances in Chance Discovery

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Cover of 'Advances in Chance Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Curation in Chance Discovery
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    Chapter 2 Turning Down a Chance An Argument from Simplicity
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    Chapter 3 A Chance Favors a Prepared Mind: Chance Discovery from Cognitive Psychology
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    Chapter 4 Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks
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    Chapter 5 Map Interface for a Text Data Set by Recursive Clustering
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    Chapter 6 Multimodal Discussion Analysis Based on Temporal Sequence
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    Chapter 7 Framework of Early Adopters Roaming among Tribes for Discovering Innovative Creation
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    Chapter 8 Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System
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    Chapter 9 Paired Evaluators Method to Track Concept Drift: An Application in Finance
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    Chapter 10 Efficient Service Discovery among Heterogeneous Agents Using a Novel Agent Ranking Algorithm
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    Chapter 11 Discovering the Chances of Health Problems and Falls in the Elderly Using Data Mining
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    Chapter 12 Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery
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    Chapter 13 Discovering Probabilistic Models of Pilot Behavior from Aircraft Telemetry Data
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    Chapter 14 Constructing Feature Set by Using Temporal Clustering of Term Usages in Document Categorization
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    Chapter 15 Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns
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Title
Advances in Chance Discovery
Published by
Springer Berlin Heidelberg, August 2012
DOI 10.1007/978-3-642-30114-8
ISBNs
978-3-64-230113-1, 978-3-64-230114-8
Editors

Ohsawa, Yukio, Abe, Akinori

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%